Offshore Software Development Rates By Country

Aug 2, 2023

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15 min read

Offshore Software Development Rates By Country

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Linh Tran

Linh Tran

Meet Linh - an intellectually curious researcher who seeks answers to deep questions. Linh is eager to learn about business and digital transformation, and enthusiastic about deriving data-driven actionable insights to enhance business outcomes. Contact her at celine@ltsgroup.tech.

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EHR Software Development: Features, Costs, and Ultimate Guide

EHR Software Development: Features, Costs, and Ultimate Guide

Jan 23, 2025

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42 mins read

In today’s healthcare landscape, Electronic Health Record (EHR) software is a vital tool for improving patient care, reducing errors, and streamlining workflows. EHR systems provide healthcare providers with real-time access to patient data, enabling more accurate diagnoses and treatments. As the demand for efficient healthcare services grows, the global EHR market is expected to reach USD 32.23 billion by 2023, with a projected growth rate of 4.43% between 2024 and 2030, according to Grand View Research. In this blog post, we’ll explore the benefits and types of EHR systems, as well as provide a step-by-step guide on how to build one. From initial research to development and maintenance, we’ll cover everything you need to know to create a high-performing, secure, and compliant EHR system tailored to your organization’s needs.         Table of Contents Toggle What is EHR Software?Difference between EMR/ EHR software developmentHow to Create EHR Software: A Step-by-Step GuideConduct market research and validate the ideaDefine goals and objectives for EHR implementationSelect the suitable EHRFind a reliable EHR development partnerDevelop EHR softwareLaunch and maintenanceMust-Have EHR System FeaturesPatient portalE-prescriptionsCharting and documentationIntegration with the labsAccess controlMajor Challenges in EHR Software Development and How To OvercomeWorkflow disruption and staff adaptationData security and privacyInteroperability issuesHigh costs of implementation and maintenanceUsability challenges: Data entry and visual display issuesRegulatory compliance and reportingCost of EHR Software DevelopmentTrending Technologies Fostering EHRs’ InnovationAI and machine learning: Transforming predictive analytics and diagnosticsBlockchain technology: Enhancing data security and transparencyTelehealth and remote monitoringInteroperability solutions: Facilitating seamless data exchangeImportance of EHR Software in HealthcareBenefits for healthcare providersBenefits for patientsBusiness and operational advantages for medical practicesFrequently Asked Questions About EHR Software DevelopmentFinal Thoughts About EHR Software Development What is EHR Software? Electronic Health Record (EHR) software is a digital platform that allows healthcare providers to securely collect, manage, and share patient medical information. This system compiles various types of data, such as medical histories, diagnoses, prescriptions, lab results, and treatment plans, into one centralized, easily accessible location for authorized users, including healthcare professionals and patients. The adoption of EHR software has had a profound impact on the healthcare industry. Imagine this: A patient walks into a doctor’s office, and the doctor instantly has access to their complete medical history, lab results, medications, and treatment plans. This is the power of EHR software. It allows for real-time access to vital information, ensuring coordinated care and reducing medical errors. What is EHR Software?   Difference between EMR/ EHR software development When discussing EHR systems, another term often surfaces—EMR (Electronic Medical Records). Though frequently used interchangeably, there’s a key distinction between Electronic Health Records (EHR) and Electronic Medical Records (EMR). What is EMR systems? EMRs are the digital version of a patient’s medical history, including diagnoses, treatments, and other key health data, but are maintained by a single healthcare provider. The main difference lies in scope. While EMRs are limited to one provider, EHRs are shared across multiple providers, offering a more comprehensive view of a patient’s health. EHRs encompass more data, enabling providers to collaborate more effectively. Another important distinction is interoperability. EHRs are designed to be interoperable, meaning they can exchange data with other healthcare systems, allowing patients’ medical records to follow them to different specialists and facilities, whereas EMRs are typically confined to one healthcare system.   How to Create EHR Software: A Step-by-Step Guide EHR custom software development is a complex yet rewarding process, requiring careful planning and execution. Here’s a step-by-step guide to help navigate the key phases of building EHR software successfully: How to Create EHR Software: A Step-by-Step Guide   Conduct market research and validate the idea Before diving into development, the first step is to validate your EHR software concept and ensure it meets market demands. This is critical for understanding whether your product will be both profitable and useful for the target audience. A strategic way to evaluate this is by applying the trinity of desirability, feasibility, and viability: Desirability: What problems does the EHR software solve? Focus on addressing unmet needs within the healthcare sector, such as improving patient care, enhancing workflow efficiency, or streamlining administrative tasks. Conduct in-depth market research, user interviews, and surveys to pinpoint the most critical pain points. Feasibility: Can your team realistically build this EHR solution? Assess your internal technical capabilities and operational resources. If necessary, identify gaps in expertise and consider outsourcing some elements of the project. Viability: Will this product nurture sustainable business growth? Consider the economic aspects, including potential revenue streams, pricing strategies, and alignment with long-term business goals. A financially viable product will ensure that both the investment and future growth are supported. Conducting thorough research and testing your software idea before development will set the foundation for a product that is market-fit and scalable.   Define goals and objectives for EHR implementation Once you’ve validated the concept, it’s essential to set clear, measurable goals for the EHR software implementation. Defining these goals will guide your team through the development process, ensuring all stakeholders are aligned on expectations. Use the SMART framework to structure your goals: Specific: Outline what you want the EHR software to accomplish, such as improving clinical workflows or reducing administrative overhead. Measurable: Set metrics to track progress, such as faster response times in patient care or increased efficiency in scheduling. Attainable: Ensure that your goals are realistic given your team’s skills and resources. Relevant: The goals should directly align with both market needs and business strategy. Time-bound: Establish deadlines to keep the project on track and ensure timely delivery. In addition to goal-setting, you should also develop an action plan and success measurement strategy: Action plan: What are the exact steps needed to achieve these goals? Each objective should be broken down into actionable steps. Measuring success: Determine how you will measure the outcomes of the goals. Use simple metrics to avoid unnecessary complexity, but ensure they effectively capture the success of your project.   Here is a specific example of goals, action plans, and measures of success: Goal Action plan Measure of success Decrease the number of pharmacy phone calls regarding prescriptions. Use the e-prescribing feature in the EHR to eliminate paper and handwritten prescriptions. Utilize the drug interaction checking feature of the EHR to guard against drug interactions. In 2 months, have an 85% reduction in pharmacy phone calls.   Select the suitable EHR Choosing the right EHR system is pivotal to the success of your project. There is no “one-size-fits-all” solution, so it’s important to select an EHR that fits your specific business goals, operational requirements, and available resources. There are various types of EHR systems based on their use case in the healthcare industry. Consider the following options: Type Definition Pros Cons When to develop Cloud-based EHR systems A web-based or internet-based EHR system that stores patient data on remote secure servers, accessible via an internet connection from any location. – Remote access from anywhere – Automatic updates & backups – Reduces upfront hardware and software costs Reduces ongoing maintenance costs Lets you start small and increase IT allocations as needed Provides higher levels of IT service availability than in-house IT services Reduces run-time failures – Requires stable internet – Less control over data storage Ideal for healthcare providers needing remote access, telemedicine, or cost-effective solutions. Client-server/ On-premise EHR systems A locally installed EHR system that runs on a server within the organization’s premises, accessed via client applications on internal devices. – Greater control over data security – Customizable to the organization’s needs – High upfront costs – Complex maintenance – Limited remote access Best for larger organizations with internal IT teams that require high control and data customization. Hybrid EHR systems An EHR system combining cloud and on-premise solutions, storing some data locally and the rest in the cloud, providing both accessibility and control. – Flexibility of access – Some data stored locally for added security – Customizable – Complex setup – Higher costs due to dual infrastructure Suitable for organizations needing both online accessibility and local data control. Standalone EHR A basic, independent EHR system that manages patient records and data, without integration with other healthcare technologies. – Cost-effective – Simple to use for smaller practices – Limited functionality – Lack of integration with other systems Ideal for smaller healthcare programs that do not require extensive features or integration capabilities. Open-source EHR systems A customizable EHR system with open-source code, allows organizations to modify and enhance features according to specific needs, often supported by a developer community. – Highly customizable – Low initial cost – Community-driven updates – Requires technical expertise to develop and maintain – Limited vendor support Suitable for organizations with technical expertise that want complete control and custom features. Mobile EHR systems An EHR system optimized for mobile devices, enables healthcare professionals to access and update patient records via smartphones or tablets, often with features like voice recognition. – Access patient data on the go – Voice recognition and touchscreen support – Mobile-friendly user experience – Smaller screens can limit detailed data entry – May require strong security measures for mobile use Ideal for healthcare professionals needing portable access to EHR while providing care in different locations.   The selection process should also consider: Cost: Evaluate the total cost of ownership, including licensing, setup, and maintenance fees. Interoperability: Ensure the system integrates smoothly with existing healthcare platforms and complies with regulations like HIPAA. Scalability: Choose a system that can grow with your organization as it expands or requires new features.   Find a reliable EHR development partner If your internal team lacks the necessary resources or expertise to develop the EHR software, partnering with an external development team may be essential. When selecting a partner, consider the following: Experience: The partner should have proven experience in developing healthcare solutions, specifically EHR systems. Compliance: Ensure the development team is well-versed in healthcare regulations such as HIPAA, GDPR, and other regional standards. Technical skills: Look for expertise in the tech stacks required for EHR development, such as cloud infrastructure, data security, and system integration. Client feedback: Check references from previous clients to assess the partner’s track record and reliability. A reliable development partner will ensure that your project is executed efficiently and within compliance standards.   Develop EHR software This is the most extensive phase of the project, encompassing multiple stages of design, software development, and software testing. Stages in EHR software development EHR model and prototype Before jumping into full-scale development, it’s essential to create a model or prototype of your EHR system. The prototype serves as a rough draft of the final product, allowing for early user feedback and validation. It should include: Key features: Capture the core functionalities needed, such as patient records management, appointment scheduling, and data security mechanisms. User flows: Map out how users will interact with the system, from logging in to managing patient care information. Technological stack: Define the architecture and the tools you’ll use for development, whether it’s cloud infrastructure for scalability or AI tools for advanced analytics. A prototype helps ensure that you’re building a user-friendly, functional product that meets both technical and clinical needs before investing heavily in full-scale development.   Create UI/UX design User experience is critical in EHR software as healthcare providers need an intuitive, efficient interface to manage patient care without added complexity. The design process should focus on: User-centric design: Ensure the interface is simple for healthcare providers, administrators, and even patients to use. Prioritize key functions on the dashboard, such as patient histories, diagnoses, and treatment plans. Customization and role-based access: Different users, like nurses, physicians, and administrative staff, will need tailored views and permissions. Ensure the system supports role-specific customization to streamline tasks. Data visualization: Use clear charts and graphs to present complex patient data, helping clinicians make informed decisions quickly. By focusing on usability, you create an EHR system that enhances productivity rather than becoming a burden on staff.   Development, quality assurance, and integration  The actual coding and development of your EHR system is where the majority of the technical work happens. It includes several interconnected steps: Front-end development: This focuses on the visible interface that users interact with, ensuring it is responsive, fast, and user-friendly. Back-end development: This involves building the infrastructure that supports data storage, security, and communication between various healthcare systems. Integration: Your EHR must integrate seamlessly with other systems like Laboratory Information Systems (LIS), radiology systems, billing software, and external health information exchanges (HIEs). It’s critical that the system allows for easy data sharing across platforms while maintaining patient privacy. Quality assurance (QA): Rigorous testing is vital to ensure the software functions as expected. QA should cover functional testing, security audits, and performance testing to ensure the system can handle real-world demands without failure. Compliance testing is also necessary to meet legal and regulatory requirements. Through development and QA, your EHR system will become a secure, compliant, and robust tool that meets user and regulatory expectations.   Launch and maintenance Once the EHR software passes all tests, it’s time to launch it within the healthcare environment. However, deployment isn’t the end of the process. It’s critical to ensure a smooth transition and provide ongoing support to keep the system running efficiently. Installation and configuration During installation, ensure the software is correctly configured to work within the existing infrastructure, integrating seamlessly with other tools already in use. Data migration from legacy systems is a delicate process that needs careful execution to avoid data loss or errors. Consider creating backups and running pilot tests before full implementation. Staff training and user adoption Introduce staff to the new system through training sessions and provide support resources such as tutorials or manuals. Focus on hands-on learning so users become comfortable with the new software. Encourage early feedback from staff to identify usability issues or workflow disruptions and adjust accordingly. Post-launch support and maintenance After the EHR system goes live, it’s important to monitor performance and fix any bugs that arise. Regular updates will ensure the system stays compliant with evolving healthcare laws and regulations. Maintenance is also vital for scalability. As your organization grows or new features are required, the system should be flexible enough to adapt without significant downtime. Regular updates, security patches, and enhancements are crucial for ensuring the EHR system continues to meet the needs of healthcare providers and patients alike.   Must-Have EHR System Features Based on the needs of each business, the features of each EHR software will be customized to ensure practical value for specific practices. However, below are the basic features recommended by experts that every EHR software should have: Must-Have EHR System Features Patient portal A patient portal serves as the central hub for patients’ medical information, including their demographics, medical history, test results, and more. It allows patients to access their records online, schedule appointments, communicate with healthcare providers, and manage their own care. This transparency fosters a stronger patient-provider relationship, giving patients control and understanding of their health. How to optimize: Ensure user-friendly design: Patients of all tech literacy levels should easily navigate the portal. A responsive interface that adapts to smartphones and tablets is essential. Enable two-way communication: Integrate secure messaging options that allow patients to ask questions and get timely responses. Data security: Make sure all patient data is encrypted and that the portal complies with HIPAA regulations for maximum confidentiality.   E-prescriptions Following up on the patient portal’s convenience, E-Prescriptions offer an equally significant advantage in modern healthcare. This feature allows physicians to electronically send prescriptions to pharmacies, reducing the risk of errors caused by illegible handwriting or manual data entry. Beyond convenience, it promotes patient safety by giving healthcare providers access to a comprehensive medication history, helping to avoid harmful drug interactions. How to Optimize: Real-time prescription checking: Implement systems that automatically check for potential drug interactions, allergies, and dosage errors before submitting the prescription. Seamless pharmacy integration: Ensure that your EHR connects with a wide network of pharmacies, making it easier for patients to pick up medications quickly. Automated alerts: Use alerts to remind patients to refill their prescriptions, enhancing treatment adherence and improving overall outcomes.   Charting and documentation Charting and documentation are vital for capturing the details of patient encounters, treatments, and outcomes. While E-Prescriptions streamline the medication process, efficient charting supports the broader scope of patient care by providing healthcare providers with structured and organized documentation. Traditionally, manual charting can be time-consuming and prone to errors, but an EHR system simplifies this by allowing for digital entries, improving both speed and accuracy. How to optimize: Customizable templates: Allow healthcare providers to customize chart templates according to their specific workflows, making the process faster and more relevant. Voice recognition and dictation: Incorporate voice-to-text features for faster data entry, reducing the burden of manual typing. Machine learning for automation: Implement AI to auto-fill repetitive fields, such as patient demographics or frequently prescribed treatments, thus speeding up charting tasks.   Integration with the labs Tying seamlessly into the documentation process, lab integration ensures that patient test results are easily accessible and connected to their broader medical records. With direct integration between labs and the EHR, physicians can quickly receive test results and correlate them with a patient’s history, improving diagnostic accuracy and speeding up treatment decisions. How to optimize: Bi-directional data flow: Ensure that lab results not only get sent to physicians but that physicians can also provide context or additional requests back to the labs in real-time. Automated flagging: Implement features that flag abnormal results for immediate attention, prioritizing high-risk cases. Integration with other health systems: Allow lab integration to work seamlessly with other systems, such as imaging or pathology, ensuring a complete view of the patient’s diagnostic data.   Access control To round out the essential features of an EHR system, access control ensures that sensitive patient information is protected while still being accessible to the right people. With lab results, prescriptions, and patient portals holding valuable data, the need for robust access control is paramount. Without it, patient privacy could be at risk, and unauthorized personnel might access confidential information. How to optimize: Role-based permissions: Assign access based on user roles, allowing different levels of access for physicians, nurses, and administrative staff. Multi-factor authentication (MFA): Add an extra layer of security by requiring multiple forms of identification (such as passwords and biometrics) for sensitive actions. Audit logs: Maintain a detailed record of who accessed what information and when, ensuring transparency and making it easier to identify any security breaches.   Major Challenges in EHR Software Development and How To Overcome EHR systems hold immense potential to streamline healthcare operations, improve patient care, and foster data-driven decision-making. However, developing EHR software presents several critical challenges that healthcare organizations must address to fully realize these benefits. Below are some of the major hurdles faced in custom EHR software development, along with practical solutions and expert tips to overcome them. Major Challenges in EHR Software Development and How To Overcome Workflow disruption and staff adaptation Implementing EHR systems can cause significant disruptions to established workflows, as healthcare staff need time to adjust to the new system. This includes learning how to navigate complex interfaces, handle new data entry methods, and ensure interoperability with other systems. The transition can pull clinicians away from patient care, leading to delays, mistakes, and frustration, especially in high-pressure environments. Solution: Comprehensive training and support: Invest in a robust training program that includes hands-on workshops, online tutorials, and continuous support to help staff master the system quickly. Consider gradual implementation to avoid overwhelming the staff all at once. User-centric design: Prioritize intuitive, user-friendly EHR designs that align with clinicians’ workflows to minimize disruption. Involve end users in the design process to ensure the EHR supports their actual work patterns. Pilot programs: Begin with pilot projects in smaller departments or specific teams before a full-scale rollout. This approach allows for real-time feedback and iterative improvements to address workflow mismatches before they affect the entire organization. By addressing both training and workflow disruptions in a unified approach, healthcare organizations can ensure smoother transitions and minimize the impact on patient care.   Data security and privacy Given the sensitive nature of patient information stored in EHRs, data security is a primary concern. EHR systems are prime targets for cyberattacks, which can compromise patient confidentiality and result in legal repercussions. Healthcare organizations also face strict regulatory standards, such as HIPAA, requiring airtight data protection measures. Solution: Robust cybersecurity measures: Implement firewalls, encryption, and multi-factor authentication to safeguard data from breaches. Regular security audits: Conduct penetration tests and security assessments to identify and patch vulnerabilities. Compliance training: Educate staff on data privacy, HIPAA compliance, and secure data handling practices to ensure the organization adheres to industry regulations. Securing data not only protects patient information but also ensures the healthcare institution stays compliant with critical regulations, avoiding costly fines and reputational damage.   Interoperability issues A common challenge in EHR systems is the lack of interoperability between different healthcare applications and systems. Without smooth integration, healthcare providers may face difficulties in sharing and accessing patient information across departments or facilities, resulting in delayed treatments and potential errors in patient care. Solution: Standards-based integration: Use recognized standards like FHIR (Fast Healthcare Interoperability Resources) and HL7 to ensure compatibility between systems. Thorough testing: Perform conformance testing to guarantee seamless data exchange between various systems. Partner with experts: Collaborate with an EHR software development company who specializes in interoperability to create a well-connected system. Interoperability is crucial for ensuring that healthcare professionals have access to accurate, real-time patient information, improving coordination and patient outcomes.   High costs of implementation and maintenance EHR implementation can be a costly endeavor, particularly for smaller healthcare facilities. Beyond the initial investment, organizations must consider ongoing costs such as maintenance, system upgrades, and staff training. Failure to account for these expenses can strain budgets and reduce the long-term effectiveness of the system. Solution: Budget generously: Plan for both upfront costs and ongoing expenses like maintenance and updates, including a buffer for unforeseen costs. Alternative pricing models: Consider open-source EHR systems or one-time licensing fees to reduce ongoing subscription costs. Explore funding options: Look into government incentives, grants, or financial assistance programs to offset initial costs. With careful financial planning, healthcare facilities can implement EHR systems without compromising their financial stability.   Usability challenges: Data entry and visual display issues Healthcare professionals often face usability challenges when interacting with EHR systems. Complex or cluttered interfaces, inadequate data entry processes, and unclear visual displays can lead to errors in patient care, such as incorrect prescriptions or missed diagnoses. Solution: Streamline data entry processes: Design intuitive forms and fields to reduce errors and improve data accuracy. Improve visual displays: Create clean, uncluttered interfaces that clearly highlight critical information for better decision-making. Customizable interfaces: Allow users to personalize their dashboard to fit their specific workflow needs. By improving the user experience, healthcare providers can focus more on patient care and less on navigating cumbersome systems.   Regulatory compliance and reporting Healthcare organizations must ensure that their EHR systems comply with a range of regulatory requirements, such as HIPAA, and Meaningful Use standards. Failure to do so can result in fines, legal action, or loss of accreditation. Solution: Dedicated compliance team: Establish a team focused on monitoring regulations and ensuring that the EHR system meets all compliance requirements. Standardized reporting practices: Implement consistent data collection and reporting protocols that meet regulatory standards. Stay updated on regulations: Keep abreast of changing healthcare laws and adapt the EHR system accordingly. Ensuring regulatory compliance not only protects against legal consequences but also maintains the trust and safety of patients.   Cost of EHR Software Development Presenting the costs associated with Electronic Health Record (EHR) software development in a tabular format can enhance clarity and facilitate easier comparison of different cost components. Below is a comprehensive table outlining the key cost elements involved in developing and implementing an EHR system: Cost Component Cost breakdown Estimated Cost Range Development costs – User interface design: Creating intuitive and user-friendly interfaces. – Backend infrastructure: Building the server-side architecture. – Coding: Developing core functionalities. – Customization: Tailoring features to specific organizational needs. – Technology stack: Selecting appropriate programming languages and frameworks. $60,000 – $100,000+ Software licensing fees – Vendor pricing models: One-time licensing, annual subscriptions, or pay-per-user. – Scale of use: Costs vary based on the number of users and departments. – Feature sets: Advanced features may incur higher fees. Varies widely based on vendor and scale Customization and integration – Customization: Modifying templates, interfaces, and functionalities to fit specific workflows. – Integration: Connecting EHR with existing systems (e.g., billing, lab databases, medical devices). – Middleware Development: Ensuring seamless data exchange between systems. – Interoperability Testing: Verifying compatibility across platforms. $10,000 – $50,000+ Hardware expenses – Servers and storage: On-premise servers or cloud storage solutions. – Devices: Computers, tablets, scanners needed for staff. – Networking equipment: Routers, switches, and other networking hardware to support EHR access. – Upgrades/replacements: Updating existing hardware to meet EHR requirements. $20,000 – $100,000+ Implementation services – Project management: Overseeing the deployment process. – Data migration: Transferring existing patient data to the new system. – System configuration: Setting up the EHR according to organizational needs. – Staff training: Educating staff on using the new system effectively. $15,000 – $75,000+ Maintenance and support – Software updates: Regular updates to improve functionality and security. – Technical support: Ongoing assistance for troubleshooting. – Bug fixes: Addressing and resolving software issues. – Help desk services: Providing user support for day-to-day operations. 15-20% of initial development cost annually Regulatory compliance and security – Security audits: Regular assessments to ensure data protection. – Certifications: Obtaining necessary compliance certifications (e.g., HIPAA, GDPR). – Consulting fees: Engaging experts to ensure adherence to legal requirements. – Encryption and access controls: Implementing robust security measures. $5,000 – $30,000+ Training and change management – Training programs: Comprehensive education for staff through workshops, online tutorials, and hands-on sessions. – Change management: Strategies to facilitate smooth transition and address resistance. – User manuals and resources: Providing documentation to support ongoing learning. – Ongoing education: Continuous training to keep staff updated with system enhancements. $10,000 – $40,000+   Summary of cost components: Category Total Estimated Cost Range Initial Implementation Costs $120,000 – $400,000+ Ongoing Annual Costs 15-20% of initial development cost   Key considerations for managing EHR development costs: Budget planning: Allocate funds for both initial setup and ongoing maintenance to avoid financial strain. Vendor selection: Choose vendors that offer scalable pricing models and have a proven track record in the healthcare industry. Customization needs: Balance the level of customization with budget constraints to ensure essential features are prioritized. Integration complexity: Factor in potential challenges and costs associated with integrating EHR with existing systems. Regulatory requirements: Ensure compliance to avoid costly penalties and maintain patient trust. Training and support: Invest adequately in training to maximize the effectiveness of the EHR system and minimize disruptions. Understanding the comprehensive costs involved in EHR software development is crucial for healthcare organizations aiming to implement an effective and sustainable system. By breaking down expenses into clear categories and estimating potential costs, organizations can better plan their budgets, choose appropriate vendors, and ensure a successful EHR deployment that enhances patient care and operational efficiency.   Trending Technologies Fostering EHRs’ Innovation The rapid evolution of Electronic Health Records (EHRs) is largely driven by the integration of emerging technologies, which are transforming how healthcare providers manage patient data, diagnose conditions, and provide treatment. Here are the key technologies fostering innovation in EHR systems: Trending Technologies Fostering EHRs’ Innovation AI and machine learning: Transforming predictive analytics and diagnostics Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing the EHR space by providing sophisticated tools for predictive analytics, diagnostics, and personalized treatment plans. Predictive analytics: AI algorithms analyze vast amounts of patient data to identify patterns and predict health issues before they become critical. For instance, in intensive care units (ICUs), AI can forecast patient deterioration, enabling timely interventions and improving patient outcomes. Natural language processing (NLP): NLP, a branch of AI, converts unstructured clinical notes into structured data, making it easier for healthcare providers to extract and use critical information from EHRs. This enhances data accuracy and accessibility, helping clinicians make more informed decisions. Personalized treatment plans: ML analyzes treatment protocols for patients with similar conditions, allowing healthcare providers to develop highly personalized treatment plans. This tailored approach improves care precision, offering better patient outcomes. Decision support systems: AI-powered systems assist physicians in diagnosing complex diseases by cross-referencing a patient’s medical history with clinical databases. These systems improve diagnostic accuracy and help healthcare providers make well-informed treatment decisions.   Blockchain technology: Enhancing data security and transparency Blockchain technology addresses critical challenges in healthcare data security and transparency by leveraging its decentralized and immutable nature. Data security: Blockchain ensures that patient data remains tamper-proof, offering robust protection against unauthorized changes or breaches. This decentralized system enhances trust among patients and providers by safeguarding medical records from manipulation. Transparent data sharing: Blockchain enables secure, transparent sharing of medical data between healthcare providers. This promotes better coordination in patient care while maintaining a verifiable record of access and modifications, ensuring that patients have more control over their personal health information. Patient consent management: By utilizing blockchain, healthcare providers can create transparent, verifiable consent records. This allows patients to manage who has access to their health information while ensuring that providers comply with consent regulations.   Telehealth and remote monitoring The integration of telehealth and remote monitoring technologies with EHR systems has transformed how healthcare is delivered, especially in the wake of the COVID-19 pandemic. Telehealth integration: Telehealth platforms now offer real-time access to patient records during virtual consultations. By having complete access to a patient’s medical history, healthcare professionals can make more accurate diagnoses and treatment decisions. Remote patient monitoring: Wearable devices and video monitoring systems allow healthcare teams to track patient data continuously. These tools send vital statistics such as heart rate, blood pressure, and glucose levels directly to EHRs, enabling healthcare providers to monitor patients remotely. This proactive approach reduces hospital readmissions and improves outcomes, particularly for chronic conditions and post-acute care.   Interoperability solutions: Facilitating seamless data exchange The complexity of healthcare systems demands efficient data sharing across different providers and organizations. Interoperability solutions ensure that patient data is easily accessible, leading to better-coordinated care. Data interoperability: EHR interoperability allows healthcare providers to access accurate, updated, and comprehensive patient records across different platforms. This is particularly beneficial when a patient has multiple providers, ensuring all clinicians have access to the same critical information for coordinated care. Standards and initiatives: Industry standards such as Health Level Seven International (HL7) and Fast Healthcare Interoperability Resources (FHIR) have been established to promote EHR interoperability. HL7 provides a framework for data exchange and retrieval, while FHIR simplifies data sharing through standardized APIs. These initiatives are critical in ensuring seamless communication across healthcare systems, improving the overall quality of care.   Emerging technologies like AI, blockchain, telehealth, and interoperability solutions are driving significant advancements in EHR systems, enabling healthcare providers to deliver more accurate, efficient, and personalized care. As these technologies continue to evolve, they will play an increasingly important role in transforming healthcare by improving patient outcomes, enhancing data security, and facilitating seamless communication across the healthcare ecosystem.   Importance of EHR Software in Healthcare Electronic Health Record (EHR) software has become an essential component of modern healthcare, providing benefits for healthcare providers, patients, and medical practices. By digitizing patient records and streamlining workflows, EHR systems not only improve patient care but also enhance operational efficiency across the healthcare ecosystem. Here’s why EHR software is indispensable in today’s healthcare environment: Importance of EHR Software in Healthcare Benefits for healthcare providers EHR systems empower healthcare professionals with quick and easy access to patient information, enhancing their ability to deliver quality care. The following are some of the key advantages EHR software brings to medical personnel: Improved data accessibility: EHRs eliminate the need for cumbersome paper charts, allowing doctors and nurses to access patient records instantly from any location. This immediate access to medical histories, test results, and treatment plans leads to faster, more precise decision-making, ultimately improving patient outcomes. Reduced risk of medical errors: With comprehensive patient data readily available, EHR systems help prevent potentially dangerous errors. Healthcare providers can cross-check drug interactions, allergies, and existing conditions before prescribing medications or administering treatments. By reducing the chances of misdiagnosis or incorrect prescriptions, EHRs enhance patient safety. Enhanced communication between patients and providers: EHR platforms often include features like secure messaging, appointment scheduling, and data sharing, which strengthen communication between healthcare providers and patients. This seamless interaction allows for more timely interventions, better follow-ups, and a more personalized patient experience.   Benefits for patients EHR systems do more than just facilitate better care delivery—they also empower patients by giving them greater control and insight into their own health. Here’s how patients benefit from EHR solutions: Easy data access: EHRs often come with patient portals that allow individuals to view their health information, such as test results, medications, and vaccination records, from the convenience of their devices. This level of transparency encourages patients to actively engage in their healthcare, fostering more informed decision-making. Fewer test duplications: By maintaining comprehensive records of all tests and procedures, EHR systems minimize the risk of unnecessary duplications. Patients no longer need to undergo redundant tests, saving them both time and money while avoiding discomfort. Reminders and notifications: EHR systems can automate the sending of appointment reminders, medication refill alerts, and other important notifications. This ensures that patients stay on top of their treatment plans and medical appointments, improving overall health management. Improved communication: EHRs facilitate ongoing communication between patients and healthcare providers. Whether it’s managing a chronic condition or addressing a new health concern, patients can receive timely guidance and support through secure messaging features integrated into the platform.   Business and operational advantages for medical practices Beyond patient care, EHR software offers significant advantages to hospitals and healthcare organizations by streamlining operations and improving the business side of healthcare. These benefits include: Improved operational efficiency: EHR platforms come equipped with functionalities like appointment scheduling, billing, and reporting, which allow medical practices to automate administrative tasks. This automation reduces the burden on staff, frees up resources, and improves the overall efficiency of healthcare facilities. Robust data security: With healthcare data being highly sensitive, EHR systems prioritize security through the use of multi-factor authentication, encryption, and access controls. These advanced security measures ensure that patient data remains safe from breaches or unauthorized access, helping medical institutions comply with regulatory requirements. Cost reduction: While implementing EHR systems may require an initial investment, the long-term savings are substantial. EHRs reduce the need for physical storage, streamline billing processes, and reduce the likelihood of costly errors, resulting in significant financial savings for healthcare providers. Regulatory compliance: EHR systems simplify documentation and reporting, making it easier for medical institutions to meet compliance standards for healthcare regulations. Standardized and accurate records help healthcare providers avoid potential legal issues and ensure that their practices meet industry guidelines. The adoption of EHR software is not just a technological upgrade; it is a crucial advancement for healthcare providers, patients, and medical practices alike. EHR systems enhance patient care by improving data access, reducing errors, and fostering better communication. They also empower patients to take a more active role in their health management, while streamlining the business operations of healthcare institutions. As healthcare continues to evolve, EHR software will remain a key driver of improved outcomes and operational efficiency in the industry.   Frequently Asked Questions About EHR Software Development What is EHR software? EHR (Electronic Health Record) software is a digital system used by healthcare providers to store, manage, and access patient medical records. It integrates patient data such as medical history, diagnoses, medications, treatment plans, and lab results, facilitating better care coordination and real-time access to vital health information.   What are the benefits of EHR? EHR systems offer numerous benefits, including improved data accessibility for healthcare providers, reduced medical errors, better patient-provider communication, and enhanced operational efficiency for medical practices. For patients, EHRs provide easy access to personal health data, reminders for appointments, and better coordination of care across multiple healthcare providers.   How much does it cost to build an EHR system? The cost of building an EHR system can vary significantly depending on the complexity of the features, the size of the healthcare organization, and the development approach. On average, custom-built EHR systems can range from $50,000 to over $500,000, including design, development, testing, and ongoing maintenance costs.   How to build your own EHR system? Building your own EHR system involves several key steps: understanding the specific needs of the healthcare practice, choosing a technology stack, designing user-friendly interfaces, ensuring regulatory compliance, and developing core features like patient record management, data security, and interoperability. Collaborating with experienced developers and healthcare IT experts is crucial to ensure the system meets industry standards and functions seamlessly.   Final Thoughts About EHR Software Development Investing in EHR software development is an essential move for any healthcare organization looking to improve patient outcomes, streamline operations, and comply with regulatory standards. However, it’s important to tailor the system to your organization’s unique needs and ensure seamless integration with your existing infrastructure. This guide has provided a comprehensive overview of the EHR development process, offering solutions to common challenges. If you’re still unsure about how to get started, working with a trusted development partner like LTS Group can simplify the process and deliver a solution that fits your needs. With over 7 years of experience in building technology solutions for healthcare organizations, LTS Group brings a team of 300+ skilled developers and testers who understand healthcare regulations and the nuances of creating secure, scalable, and compliant EHR systems. By leveraging our expertise and deep industry insights, we can help you design and implement an EHR solution that enhances both patient care and operational efficiency. Ready to take the next step in your EHR journey? Get in touch with our team of healthcare experts to start building the future of your healthcare system. — Website: https://ltsgroup.tech/  Tel: (+84) 96-238-7474 Linkedin: https://www.linkedin.com/company/lts-group-vietnam/ { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "What is EHR software?", "acceptedAnswer": { "@type": "Answer", "text": "EHR (Electronic Health Record) software is a digital system used by healthcare providers to store, manage, and access patient medical records. It integrates patient data such as medical history, diagnoses, medications, treatment plans, and lab results, facilitating better care coordination and real-time access to vital health information." } },{ "@type": "Question", "name": "What are the benefits of EHR?", "acceptedAnswer": { "@type": "Answer", "text": "EHR systems offer numerous benefits, including improved data accessibility for healthcare providers, reduced medical errors, better patient-provider communication, and enhanced operational efficiency for medical practices. For patients, EHRs provide easy access to personal health data, reminders for appointments, and better coordination of care across multiple healthcare providers." } },{ "@type": "Question", "name": "How much does it cost to build an EHR system?", "acceptedAnswer": { "@type": "Answer", "text": "The cost of building an EHR system can vary significantly depending on the complexity of the features, the size of the healthcare organization, and the development approach. On average, custom-built EHR systems can range from $50,000 to over $500,000, including design, development, testing, and ongoing maintenance costs." } },{ "@type": "Question", "name": "How to build your own EHR system?", "acceptedAnswer": { "@type": "Answer", "text": "Building your own EHR system involves several key steps: understanding the specific needs of the healthcare practice, choosing a technology stack, designing user-friendly interfaces, ensuring regulatory compliance, and developing core features like patient record management, data security, and interoperability. Collaborating with experienced developers and healthcare IT experts is crucial to ensure the system meets industry standards and functions seamlessly." } }] } { "@context": "https://schema.org/", "@type": "HowTo", "name": "How to Create EHR Software: A Step-by-Step Guide", "description": "EHR custom software development is a complex yet rewarding process, requiring careful planning and execution. Here's a step-by-step guide to help navigate the key phases of building EHR software successfully.", "totalTime": "PT30M", "estimatedCost": { "@type": "MonetaryAmount", "currency": "USD", "value": "0" }, "step": [{ "@type": "HowToStep", "text": "Before diving into development, the first step is to validate your EHR software concept and ensure it meets market demands. This is critical for understanding whether your product will be both profitable and useful for the target audience. A strategic way to evaluate this is by applying the trinity of desirability, feasibility, and viability. Conducting thorough research and testing your software idea before development will set the foundation for a product that is market-fit and scalable.", "name": "Conduct market research and validate the idea" },{ "@type": "HowToStep", "text": "Once you've validated the concept, it’s essential to set clear, measurable goals for the EHR software implementation. Defining these goals will guide your team through the development process, ensuring all stakeholders are aligned on expectations. You can use framework like SMART to structure your goals. In addition to goal-setting, you should also develop an action plan and success measurement strategy.", "name": "Define goals and objectives for EHR implementation" },{ "@type": "HowToStep", "text": "Choosing the right EHR system is pivotal to the success of your project. There is no "one-size-fits-all" solution, so it's important to select an EHR that fits your specific business goals, operational requirements, and available resources. There are various types of EHR systems based on their use case in the healthcare industry, including Cloud-based EHR systems, Client-server/ On-premise EHR systems, Hybrid EHR systems, Standalone EHR, Open-source EHR systems, and Mobile EHR systems. The selection process should also consider factors like cost, Interoperability, and scalability.", "name": "Select the suitable EHR" },{ "@type": "HowToStep", "text": "If your internal team lacks the necessary resources or expertise to develop the EHR software, partnering with an external development team may be essential. When selecting a partner, consider the following aspects: previous experience, compliance, technical skills, and client feedback. A reliable development partner will ensure that your project is executed efficiently and within compliance standards.", "name": "Find a reliable EHR development partner" },{ "@type": "HowToStep", "text": "This is the most extensive phase of the project, encompassing multiple stages of design, development, and quality assurance. Before jumping into full-scale development, it’s essential to create a model or prototype of your EHR system. The prototype serves as a rough draft of the final product, allowing for early user feedback and validation. It should include: key features, user flows, and technological stack. Afterwards, the actual coding and development of your EHR system is where the majority of the technical work happens. It includes several interconnected steps: front-end and back-end development, integrations, and quality assurance. Once the EHR software passes all tests, it’s time to launch it within the healthcare environment. However, deployment isn’t the end of the process. It’s critical to ensure a smooth transition and provide ongoing support to keep the system running efficiently. Regular updates, security patches, and enhancements are crucial for ensuring the EHR system continues to meet the needs of healthcare providers and patients alike.", "name": "Develop EHR software" }] } { "@context": "https://schema.org", "@type": "BlogPosting", "mainEntityOfPage": { "@type": "WebPage", "@id": "https://ltsgroup.tech/blog/ehr-software-development/" }, "headline": "EHR Software Development: Features, Cost, and Ultimate Guide", "image": "", "author": { "@type": "Person", "name": "Ashley Nguyen" }, "publisher": { "@type": "Organization", "name": "LTS Group", "logo": { "@type": "ImageObject", "url": "https://ltsgroup.tech/_next/static/media/logo.962a51ed.png" } }, "datePublished": "" }

Understanding Software Maintenance Cost: From Key Factors to Optimization Strategies

Understanding Software Maintenance Cost: From Key Factors to Optimization Strategies

Nov 21, 2024

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24 mins read

Outdated interfaces, poor performance, and technological stagnation – these challenges have led leaders to make a crucial decision: investing in software maintenance cost. Software maintenance cost is not just an expense but an investment in the future of any business. It is the process of improving software after its release: fixing bugs, enhancing performance, adding new features, and ensuring it is secure against cyberattacks. All of these updates keep software reliable and, more importantly, adaptable to evolving user needs. By understanding software maintenance cost, businesses can support the long-term functionality of their systems while making informed decisions that optimize budgets and resources. Let’s keep reading to uncover comprehensive guidance for accurately estimating the cost of software maintenance, from analyzing key cost factors to exploring how to calculate maintenance cost. Table of Contents Toggle Different Types of Software Maintenance Corrective maintenance Adaptive maintenance Perfective maintenance Preventive maintenance Key Factors Affecting Software Maintenance Cost Technical factors Non-technical factors Software Maintenance Cost vs. Development CostEstimated Annual Maintenance Cost For A Music Streaming App1. Fixing bugs and addressing issues2. Ensuring compatibility with operating system updates3. Enhancing features based on user feedback4. Proactively optimizing for stabilityOutsourcing vs. In-house Maintenance: Pros And Cons For BusinessesOutsourcing software maintenanceIn-house maintenanceWhen To Implement Software Maintenance?Immediately post-deploymentRegularly scheduled maintenanceUpon detection of bugs or errorsDuring feature updates and enhancementsWhen adapting to environmental changesTo keep pace with technological and regulatory changesHow To Achieve Optimal Software Maintenance?FAQs On Software Maintenance CostFinal Thoughts About Software Maintenance Cost  Different Types of Software Maintenance  Software maintenance isn’t a one-size-fits-all solution. Each software has its own requirements, and addressing them requires different approaches. In fact, there are 4 distinct types of maintenance that every software product should undergo throughout its life cycle. Different types of software maintenance Corrective maintenance  Corrective maintenance in software engineering is the most apparent type of maintenance and the first thing that comes to mind when someone finds out about the process. This method is focused on identifying errors and making adjustments to enhance the operation of the software. These defects, which can appear as bugs, errors, or vulnerabilities, are identified and analyzed to determine the root cause. Corrective maintenance is required when users come across software bugs or when security risks arise. When applying appropriate patches or updates, corrective maintenance restores the software to a stable and secure state, preventing further disruptions and data breaches. Typically, corrective maintenance comprises around 20-25% of all software maintenance activities. Adaptive maintenance  Adaptive maintenance is about updating software to keep it aligned with changes in its external environment. This can involve modifications to secure compatibility with new operating systems, hardware updates, or third-party software dependencies. Such maintenance becomes essential when external factors, like technological advancements, infrastructure updates, or regulatory changes, impact the software’s ability to function smoothly. By keeping the software compatible with its surroundings, adaptive maintenance enables it to operate efficiently despite these outside changes. This type of maintenance is key to the software’s long-term resilience and sustainability. For instance, software was initially developed to run on Windows 10, but with the release of Windows 11, certain features start to misbehave due to changes in the operating system. While there’s no issue with the original code, adjustments are necessary to ensure seamless functionality on the updated platform. Adaptive maintenance accounts for about 15-20% of total maintenance efforts. Adaptive maintenance Perfective maintenance  Perfective maintenance makes up about 25-30% of maintenance spending, focusing on enhancing existing software by introducing new features or improving current functionality based on user feedback and market changes. This maintenance type supports continuous improvement of the product. Suppose your business launched a messaging app, and after gathering feedback, you find that users want the ability to edit messages after sending. To meet this demand, you add an “edit” option for sent messages, improving user experience. Modifying existing software based on user requests like this is a prime example of perfective maintenance. Perfective maintenance is implemented when businesses adapt their software to evolving market trends and rising user expectations. It’s often driven by a strategic need to stay competitive, improve user satisfaction, and capitalize on emerging technologies. Through perfective maintenance, software becomes more powerful, intuitive, and feature-rich, enabling businesses to deliver greater value and maintain a leading edge. Preventive maintenance  Usually, 5-10% of total maintenance efforts go toward preventive maintenance. Preventive maintenance, a proactive strategy, is designed with a focus on long-term stability and performance. The goal is to address potential issues before they can disrupt the software’s performance, providing a reassuring layer of stability. Preventive maintenance not only fortifies software and safeguards it for the future but also eases the burden of code maintenance. This strategic move serves as a shield against all potential alterations, making it easier to handle the legacy system securely, relieving the workload of code maintenance. Key Factors Affecting Software Maintenance Cost  When planning for software maintenance, decision-makers also need to consider various cost factors. These factors fall into 2 main categories: technical factors and non-technical factors. Factors affecting software maintenance cost Technical factors  1. Programming language The programming language you choose can significantly impact a software project’s maintainability and overall cost. Higher-level languages like JavaScript, Ruby, PHP, and Pascal offer a more intuitive and developer-friendly syntax, making them easier to learn, understand, and maintain compared to lower-level languages like C or assembly. This simplicity translates to reduced maintenance efforts, resulting in substantial savings in the long run. 2. Testing and validation The performance of software partly relies on the quality of its design and testing phases. Investing in a well-thought-out design and thorough testing before launch can substantially lower maintenance costs down the line. The cost of fixing bugs varies by type. Simple coding errors are usually affordable to correct, while design flaws can be more costly, often requiring substantial rewrites of the program. Bugs rooted in requirement issues are typically the most expensive, as they demand extensive redesign to align with intended functionalities. Taking these steps early on ensures not only smoother performance but also long-term savings in maintenance efforts. 3. Configuration management Reducing maintenance expenses also requires effective configuration management. Developers can access, update, and troubleshoot the system more easily when documentation is well-structured and consistent with the software’s architecture. Your team will spend more time creating valuable enhancements and less time deciphering how things operate if there is clear documentation. By the same token, maintenance can become expensive, leading to a resource drain with poor configuration management. 4. Development platform The platform on which the software is developed also impacts maintenance costs. For instance, iOS-based software may incur different maintenance expenses compared to Android, partly due to varying developer rates. Selecting the right platform should consider both the business budget and future scalability needs. iOS software may have different maintenance cost from Android Non-technical factors  1. Business criticality Your software’s role in core business operations can influence how much support it needs. Mission-critical applications, vital to business operations, demand consistent and reliable maintenance to ensure stability and performance. This often translates to higher maintenance costs due to: Frequent updates: The need for frequent updates to prevent downtime and maintain operational continuity. Enhanced support: The requirement for heightened support to address issues promptly, potentially necessitating increased IT staffing or outsourcing. Organizations should plan for these additional expenses when deploying software that is integral to their operations. 2. Software setting Software with a clear, stable purpose and minimal anticipated changes tends to have lower maintenance costs. In contrast, highly innovative software, which must adapt quickly to shifting market demands, often requires ongoing updates and enhancements. This agile software development approach which is required to stay competitive with frequent feature additions means higher maintenance investment over time. For forward-thinking software, be prepared for a higher maintenance budget to cover regular updates and expert support. 3. Hardware’s dependability While software runs independently, the hardware it operates on can significantly affect maintenance. Outdated or unstable hardware often leads to compatibility issues, requiring extra patches or optimizations, especially in legacy systems. For many businesses, immediate hardware upgrades aren’t always feasible. Instead, being aware of hardware limitations and aligning software updates with them can help manage maintenance more effectively. 4. Geographical factors For software serving users across multiple regions, localization and compliance add layers of complexity to maintenance. Adapting software to meet diverse language requirements, regulatory standards, and regional preferences is necessary for seamless global functionality, yet it also demands additional resources and ongoing investment. Meeting these varied needs ensures your software remains effective and compliant across markets, supporting business continuity and customer satisfaction on an international scale. Software Maintenance Cost vs. Development Cost Total cost of ownership (TCO) is a term widely utilized when businesses assess software costs. TCO encompasses development, deployment, management, and maintenance, as well as indirect costs like employee training and client onboarding. While development is a one-time process, software maintenance is ongoing for all software types. Software maintenance cost vs development cost Here’s a concise comparison between development and maintenance cost to help clarify their distinctions and importance: Category Development Cost Maintenance Cost Nature of cost One-time investment Ongoing expense Scope Creating software from scratch Ensuring software runs efficiently post-deployment Key activities Design, coding, testing, deployment Bug fixes, updates, compatibility adjustments, optimization Cost frequency One-time Recurring annually Estimated cost Depends on project scale 15-20% of development cost per year Estimated Annual Maintenance Cost For A Music Streaming App In this article, we’ll use the example of a music streaming app, like Spotify, to illustrate typical software maintenance cost. Please note that these hypothetical numbers may vary based on factors such as app complexity, user base, and technology stack. Here comes a sneak peek. Keep scrolling for greater elaboration! Example of software maintenance cost for a music streaming app The cost to develop a music streaming app can range from $45,000 to $250,000 or more, depending on specific requirements and features. For this example, we’ll assume an initial development cost of $200,000. The software maintenance cost percentage is usually calculated at 15% to 20% of the initial development investment annually. Thus, the estimated annual maintenance cost would be approximately $40,000. A music streaming app like Spotify offers various features to users, including personalized playlists, offline access, multi-device support, and social sharing. To ensure these features perform smoothly and meet user expectations, continuous maintenance across several areas is necessary: 1. Fixing bugs and addressing issues Example issue: Updates from third-party platforms, such as Facebook or Instagram, may disrupt the app’s social sharing feature, requiring immediate fixes to maintain functionality. Maintenance impact: Corrective maintenance ensures stable integration with external services, providing a seamless user experience. Estimated annual cost: 20-25% of the maintenance budget (~ $9,000) 2. Ensuring compatibility with operating system updates Example issue: With each iOS and Android update, regression testing is needed to confirm that features such as playback and offline mode work properly on updated devices. Maintenance impact: Adaptive maintenance ensures compatibility with OS updates and includes necessary adjustments, keeping the app accessible on the latest devices. Estimated annual cost: 15-20% of the total maintenance budget ~ $7,000 3. Enhancing features based on user feedback Example: Adding new personalization features, like collaborative playlists and improved recommendations, to keep the app competitive and engaging for users. Maintenance impact: Perfective maintenance enables the app to evolve according to user needs, enhancing retention and engagement. Estimated annual cost: 25-30% of the maintenance budget (~ $11,000) 4. Proactively optimizing for stability Example issue: Regular server optimizations and code refactoring are conducted to ensure fast load times and smooth playback, even as the app’s user base grows. Maintenance impact: Preventive maintenance helps avoid performance issues by keeping the codebase clean and the infrastructure robust. Estimated annual cost: 5-10% of the maintenance budget (~ $3,000) By and large, an estimated annual maintenance cost of around $40,000, covering corrective, adaptive, perfective, and preventive maintenance, allows the app to stay reliable, user-friendly, and competitive in the rapidly evolving streaming market. Outsourcing vs. In-house Maintenance: Pros And Cons For Businesses When it comes to managing software maintenance, companies often face a crucial decision: should they keep it in-house or outsource it to an external provider? This choice significantly impacts costs, flexibility, and overall performance. Below, we explore the pros and cons of each approach to help you decide what’s right for your business. Outsourcing software maintenance IT outsourcing means hiring external experts to handle the work. Here’s a closer look at the benefits and downsides of outsourcing software maintenance: Pros: Specialized expertise: With outsourcing, you’re bringing in specialists with deep knowledge and experience. For complex tasks like API integration or security updates, outsourcing complements the in-house team with specialized expertise for greater efficiency. Scalability: Outsourcing is flexible – you can scale maintenance needs up or down based on demand, which is ideal if you have fluctuating needs or a limited budget. Cost efficiency: Outsourcing allows you to cut down on overhead costs related to recruiting, training, and managing an internal team. You also avoid the need to invest in maintenance tools and infrastructure. More time for core focus: By handing off routine maintenance, your in-house team can focus on core tasks that drive growth and innovation. Cons: Reduced control: Outsourcing means you give up some control over the timing and quality of maintenance tasks. If the provider doesn’t meet expectations, it can impact your operations. Communication gaps: Working with an external team, especially if they’re offshore, can lead to communication challenges due to time zones or language differences. Reliance on a provider: If you become too reliant on an external provider, any disruptions or delays on their end could impact your business. To maximize the benefits of outsourcing while mitigating its risks, establishing trusted partnerships and developing a well-crafted strategy are essential. With a thoughtful approach, business can ensure that the advantages of outsourcing far outweigh potential challenges. For deeper insights and stay ahead in your strategy, check out our eBook on IT outsourcing trends now. In-house maintenance In-house maintenance involves building a team within your company to handle software upkeep. This is what you gain and what to watch out for when choosing in-house maintenance: Pros: Direct oversight: An in-house team is entirely under your control, so you can directly oversee quality and ensure standards are met. Stronger cultural fit: In-house teams understand your business culture and goals, making them more invested in maintaining the software to your standards. Faster response times: With maintenance staff onsite, issues can be resolved quickly, reducing downtime and keeping things running smoothly. Cons: Higher costs: In-house teams come with higher costs, including salaries, benefits, and ongoing training. These expenses can strain budgets, especially for smaller businesses. Staffing challenges: Maintaining an in-house team means dealing with potential turnover, skill shortages, and recruitment needs, which can impact service continuity. Skill gaps: Your in-house team may need more specialized skills for specific tasks, leading to quality gaps or limitations in their work scope. So, what’s right for your business? Outsourcing or in-house maintenance Deciding between outsourcing and in-house maintenance depends on your specific needs, budget, and goals. IT project outsourcing is ideal if you’re looking to save on costs and tap into specialized expertise, though it does mean less control over daily processes. In-house maintenance, on the other hand, gives you more control but comes with higher overhead and potential staffing challenges. Ultimately, the right choice depends on the complexity of your maintenance needs, your budget, and your preference for control. Many companies find that a blended approach – managing certain in-house tasks while outsourcing specialized tasks effectively – gives them the best of both worlds. When To Implement Software Maintenance? When to implement software maintenance Software maintenance comes into play to keep your applications running smoothly, securely, and relevant to your business needs. But knowing when to dive into maintenance can be the difference between a well-oiled system and one constantly putting out fires. Immediately post-deployment Imagine that your team has just launched a new software application. Initial feedback is positive, but users start encountering minor issues. Small bugs and a few performance lags can happen as the system adapts to real-world use. This post-deployment period is optimal for initial maintenance, where small adjustments can solidify functionality, meet business requirements, and prevent minor issues from affecting user experience. Think of it as the final layer of quality assurance, ensuring the system’s reliability from the start. Regularly scheduled maintenance Regularly scheduled maintenance – such as monthly or quarterly checks – can catch and resolve issues early, preventing potential failures. Routine tasks may include performance monitoring, system updates, and security patches. These regular check-ups help you identify vulnerabilities, extend your software’s lifespan, and avoid unexpected disruptions. When you prioritize routine maintenance, you invest in smoother operations and ultimately lower overall maintenance costs over time. Upon detection of bugs or errors No matter how well-designed, the software will occasionally experience bugs or errors that require corrective action. Promptly addressing these errors is critical to preserving stability. For instance, if a customer-facing feature malfunctions, corrective maintenance can restore functionality before significantly impacting user experience. While reactive in nature, corrective maintenance contributes much to preventing minor issues from escalating into major disruptions. During feature updates and enhancements A maintenance layer is necessary when updating software to incorporate new features or improved functionality to guarantee seamless connection with current systems. Perfective maintenance, for example, facilitates updates like adding a user-requested feature or enhancing the user interface without causing interruptions or inconsistencies. This strategy guarantees that the software maintains competitiveness and adapts to changing user requirements. When adapting to environmental changes Changes in the operating environment – such as OS upgrades, network adjustments, or server migrations – often necessitate software modifications. Adaptive maintenance at these times ensures that the software remains compatible and performs optimally in its new environment. Suppose that your organization migrates to a cloud-based infrastructure, adaptive maintenance aligns your software with this shift, ensuring uninterrupted functionality and efficiency. To keep pace with technological and regulatory changes As industries shift, so do compliance rules and tech standards, making it essential to keep software up-to-date. Adaptive maintenance ensures your software stays compliant and relevant, ready to meet new demands. For example, new data protection laws or enhanced cybersecurity standards may necessitate updates to the software’s data handling practices. Regularly performing adaptive maintenance not only secures compliance but also enables responsible innovation, keeping your organization agile and ready for what’s next. How To Achieve Optimal Software Maintenance? To keep your software systems secure, efficient, and aligned with business needs, it’s essential to implement a proactive and structured maintenance plan. From setting a regular update schedule to leveraging automation and investing in team training, these best practices are key to reducing downtime and extending the life of your applications. Check out our comprehensive software maintenance guide for a deeper dive into maintaining software effectively. Choosing the right partner is crucial for successful software maintenance. Using third-party support effectively reduces software maintenance costs, especially with an offshore IT partner. With deep expertise in proactive monitoring, adaptive updates, and comprehensive support, LTS Group provides reliable, tailored solutions that help keep your software robust and responsive to changing needs. FAQs On Software Maintenance Cost How much does software maintenance cost? Software maintenance typically costs 15-20% of the initial annual development cost. For example, if a software project costs $200,000 to develop, the yearly maintenance cost would be around $30,000 to $40,000. Annual maintenance costs can rise 40-90% of the original development cost for complex or large-scale applications. Can maintenance costs be reduced? Yes, implementing best practices can help manage and reduce costs. Regularly scheduled maintenance, investing in high-quality initial development, automating routine tasks, and documenting changes contribute to lower long-term expenses. Partnering with a specialized maintenance provider, especially working with an offshore software maintenance service provider, can also offer cost-effective support without compromising quality. Is it better to manage maintenance in-house or outsource it? This decision depends on your organization’s needs and resources. In-house maintenance offers more control but can be costly, especially if specialized skills are required. Outsourcing maintenance, particularly offshore, can provide cost savings and access to expertise, but clear communication and a well-defined SLA (Service level agreement) are essential to maintain quality and accountability. Final Thoughts About Software Maintenance Cost  Investing in software maintenance costs is crucial for keeping your application functional, competitive, and secure. From bug fixes and feature updates to compatibility and performance improvements, effective maintenance drives user satisfaction and business success. If you’re looking for a trusted partner to manage and enhance your software, LTS Group offers the expertise, dedication, and scalability needed to keep your application running at its best. At LTS Group, we approach maintenance by anticipating future needs and preventing issues, rather than just addressing problems as they arise. Our expert team is committed to delivering maintenance that extends the lifespan of your software while optimizing for performance and cost. Connect with us today to learn more about our software maintenance services and how we can help extend the life of your software while reducing overall maintenance costs. Website: https://ltsgroup.tech/  Tel: (+84) 96-238-7474 Linkedin: https://www.linkedin.com/company/lts-group-vietnam/ { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "How much does software maintenance cost?", "acceptedAnswer": { "@type": "Answer", "text": "Software maintenance typically costs 15-20% of the initial annual development cost. For example, if a software project costs $200,000 to develop, the yearly maintenance cost would be around $30,000 to $40,000. Annual maintenance costs can rise 40-90% of the original development cost for complex or large-scale applications." } },{ "@type": "Question", "name": "Can maintenance costs be reduced?", "acceptedAnswer": { "@type": "Answer", "text": "Yes, implementing best practices can help manage and reduce costs. Regularly scheduled maintenance, investing in high-quality initial development, automating routine tasks, and documenting changes contribute to lower long-term expenses. Partnering with a specialized maintenance provider, especially working with an offshore software maintenance service provider, can also offer cost-effective support without compromising quality." } },{ "@type": "Question", "name": "Is it better to manage maintenance in-house or outsource it?", "acceptedAnswer": { "@type": "Answer", "text": "This decision depends on your organization’s needs and resources. In-house maintenance offers more control but can be costly, especially if specialized skills are required. Outsourcing maintenance, particularly offshore, can provide cost savings and access to expertise, but clear communication and a well-defined SLA (Service level agreement) are essential to maintain quality and accountability." } }] } { "@context": "https://schema.org", "@type": "BlogPosting", "mainEntityOfPage": { "@type": "WebPage", "@id": "https://ltsgroup.tech/software-maintenance-cost/" }, "headline": "Understanding Software Maintenance Cost: From Key Factors To Optimization Strategies", "image": "", "author": { "@type": "Person", "name": "Duong" }, "publisher": { "@type": "Organization", "name": "LTS Group", "logo": { "@type": "ImageObject", "url": "https://ltsgroup.tech/_next/static/media/logo.962a51ed.png" } }, "datePublished": "" }

MVP in Software Development: A Complete Guide

MVP in Software Development: A Complete Guide

Sep 18, 2024

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19 min read

Introduced over two decades ago, the concept of a minimum viable product (MVP) remains a fundamental principle in software development. As the originator of the term, the CEO of SyncDev – Frank Robinson – defined an MVP as a product that “is big enough to cause adoption, satisfaction, and sales, but not so big as to be bloated and risky”. Today, MVP software development is an essential component of the agile methodology, emphasizing iterative improvement and responsiveness to user feedback. Many successful software, such as Facebook, Instagram, Snapchat, Dropbox, and Airbnb, started as MVPs before evolving into their current forms we know now. In this guide, we’ll explore MVP development comprehensively, from its definition and benefits to detailed steps and more. Table of Contents Toggle What is MVP in Software Development?7 Key Steps in MVP Development ProcessStep 1. Identify the problem your product should solveStep 2. Analyze the competitionStep 3. Define core featuresStep 4. Prototype potential solutionStep 5. Develop your MVPStep 6. Launch, monitor, and improveStep 7. Prepare to scaleBenefits of MVP DevelopmentMVP vs. PoC vs. PrototypeFAQs about MVP DevelopmentFinal Thoughts about MVP Development What is MVP in Software Development? An MVP in software development refers to a version of the software that includes only the essential features needed to make the product functional and meet the core requirements. What is MVP in software development? Consider your organization is developing a new task management solution. The MVP version of this software might include necessary features such as adding tasks, setting due dates, and marking tasks as completed. It would not, however, encompass all the additional features you might plan for future versions like integrations with other applications or advanced analytical tools. The intention is to provide a usable product to users promptly, allowing the business to gather early feedback and make iterative improvements. By focusing on the core value and limiting the scope of features, an MVP enables developers to avoid unnecessary complexities and reduces time spent on non-essential components. This pragmatic approach highlights that delivering a basic, yet useful, product is often more beneficial than attempting to achieve perfection from the outset. Does Your Business Need an MVP? Before actually embarking on the development of an MVP, it’s essential for your company to assess whether an MVP is necessary for your project or not. Here are 5 major factors to consider: Important factors to determine if your business needs an MVP Problem complexity If your project involves complex problems that can benefit from a step-by-step approach, starting with an MVP can help streamline the process. Conversely, for straightforward issues with minimal complexity, it might be feasible to bypass the MVP and directly build the complete solution. Market uncertainty In uncertain markets, such as those that are constantly evolving or highly competitive, an MVP is great for testing demand and adapting to shifting user preferences. Meanwhile, in stable markets with well-defined user preferences and clear demand, an MVP may be less ideal. Resource availability If your business has limited resources, an MVP can be an effective strategy to utilize available time, budget, and expertise. On the other hand, if your company has ample resources, you might consider moving directly to a full-fledged product without an MVP stage. Risk tolerance  For companies prioritizing risk mitigation, an MVP offers a way to validate assumptions and reduce potential risks before committing more resources. But if your stakeholders are comfortable with higher risks or have a well-defined product strategy, you may choose to skip the MVP phase. Product viability When there is uncertainty about your product’s demand or potential success, an MVP offers a controlled environment to certify the idea. However, if you have strong confidence in the product’s viability and user demand, opting for full-scale development might be the preferred approach. 7 Key Steps in MVP Development Process Developing an MVP follows a similar path to general software product development, albeit with a strong focus on validating core assumptions, attracting early adopters, and achieving product-market fit early on. Now, let’s go over 7 crucial stages of MVP for software development! Key steps in MVP development process Step 1. Identify the problem your product should solve MVP development begins by clearly defining the problem the software seeks to solve. Here, project leaders must craft a compelling value proposition, which encompasses: A defined target audience with distinct needs How the product addresses those needs The benefits users can expect To achieve this, your team should do thorough research: Market research: Analyzing market size, trends, and identifying target customer demographics, preferences, and pain points. Customer interviews and surveys: Directly engaging with potential users to understand their challenges, needs, and opinions on existing solutions. Focus groups: Conducting group discussions with a diverse set of prospective customers to gain insights into their attitudes, expectations, and reactions. Online polls and social media engagement: Using these tools to collect direct feedback on public interest and trends relevant to your product concept. Needless to say, this research step is of great significance since, according to CB Insights, a number of startups fail just because they overlook market demand for their products. Step 2. Analyze the competition Chances are there are plenty of existing solutions similar to yours in the market. Therefore, in the next step, we strongly recommend conducting a thorough analysis of direct and indirect competitors and organizing the findings systematically, at least in a spreadsheet for later use. By identifying similar products, your team has a chance to look closely at how your solution can differentiate itself effectively from rivals. What’s equally important is estimating market size to ensure there would be enough potential customers willing to buy your product. Step 3. Define core features Once you’ve validated your product idea and grasped market dynamics, it’s time to outline the features that will constitute your MVP. It’s crucial at this stage to adhere strictly to the minimalist philosophy of MVP in development, avoiding the temptation to include every feature intended for the final product. Prioritizing features is critical, so here are 3 effective prioritization frameworks we highly recommend: 3 effective MVP feature prioritization frameworks MoSCoW method: Classifying features as must-have, should-have, could-have, and won’t-have. Kano model: Categorizing features into must-be quality (expected features), performance quality (linear impact on satisfaction), and excitement quality (delighters). Value vs. effort matrix: Evaluating features based on potential value versus implementation effort. It’s also advisable to develop a feature roadmap where your team outlines not only MVP features but also those planned for future iterations. This strategic approach guarantees a clear vision beyond the initial release, although further adjustments are inevitable as feedback, data, and insights are constantly gathered throughout the MVP development process. Step 4. Prototype potential solution Next is prototyping, which plays a big role in shaping the design and functionality of the final MVP. It basically involves creating an interactive representation of your concept to map out user flow, estimate development costs, and gather early feedback. There are various UX tools available including Figma, Marvelapp, Miro, AdobeXD, and Axure, many of which offer free pricing plans. Once done building a prototype, test it with early adopters to gauge interest in the product and use their feedback to refine the prototype. Step 5. Develop your MVP Now, it’s time to bring your MVP to life! There are several ways to realize your idea, and not all of them demand deep programming expertise: 3 main approaches to develop your MVP No-code approach If your organization does not want to start from scratch and write codes, many methods are available: Flintstone method: Operating the product’s functionalities manually behind the scenes until automation becomes feasible. Landing page: A simple landing page explaining your product and offering early opt-ins to gain customer insights and leads. Constructor method: Combining open-source software and other available platforms to address the problem. While this method may involve integrating different APIs, it’s still far less complex than developing a software from scratch. In-house development If your business has the necessary expertise and manpower to develop the MVP internally, this approach is often preferable. However, MVP agile development isn’t solely about technical know-how; it also needs input from designers, business analysts, and marketers. Therefore, ensure your team has all the required talent in place. A key thing to note here: doing it yourself expects your team to choose the right tech stack. So below are quick notes to help you make a well-informed decision: Consider team expertise: Opt for technologies that are familiar to your team to minimize learning curves and accelerate development. Evaluate project needs: Refer to the essential features identified earlier and consult with software engineers to understand technical specifications. Factor in long-term scalability to prevent significant reworks. Outsourcing development  Another common approach is outsourcing talent or partnering with companies providing MVP software development services. Platforms like Upwork or Freelancer provide easy access to freelance software engineers, along with their ratings, project histories, and client feedback. However, it’s important to be cautious since hiring freelancers carries numerous risks if your company doesn’t do proper vetting. For a more reliable approach, organizations should consider partnering with established MVP development companies like LTS Group. Our IT engineers are proficient in a wide array of tech stacks, ensuring we deliver top-tier solutions—from custom mobile and web development to advanced development projects like AI, blockchain, and embedded systems. Whether you require MVP or feature-rich software development solutions, LTS Group is your trusted partner in achieving excellence. Step 6. Launch, monitor, and improve Launching your MVP includes several baby steps like deploying, monitoring errors, gathering user feedback, and refining features: Deploy your MVP on a server or hosting environment to ensure it runs smoothly in a production setting Implement error monitoring and tracking mechanisms to promptly identify and resolve issues Prepare for launch activities, including marketing, promotion, and user acquisition strategies Collect user feedback diligently and prioritize feature requests and bug fixes to enhance your MVP continuously Here, your company can adopt 3 main launch approaches to introduce your MVP to the market: 3 ways to launch your MVP Soft launch: Releasing your product to a limited user base to mitigate risks, identify bugs, and refine your monetization strategy. Hard launch: Executing a widespread release with extensive marketing efforts to attract a broad audience. However, this approach is advisable only when there is a predictable audience. Dark launch: Introducing product features gradually to a select group of users to validate functionality and usability in a controlled environment. Step 7. Prepare to scale Once your software establishes a solid user base and gathers insights into their needs, it’s essential to prepare for scaling beyond MVP development stages towards a complete solution. Follow these steps to ensure a smooth transition: Clearly outline the complete product’s vision based on user feedback and market analysis Develop a detailed product roadmap for feature prioritization and timeline Assess your team’s capabilities and expand resources as needed to support the product’s growth trajectory Evaluate the MVP’s architecture to accommodate new features and increased complexity Adopt an iterative development approach for ongoing enhancements Ramp up software testing methods to uphold product reliability and quality standards as you expand Publicly release the enhanced product version and closely monitor performance metrics and user feedback Finalize and implement a revenue model that aligns with your product’s value proposition and market expectations Benefits of MVP Development Software development MVP provides numerous advantages for businesses. Here are 6 key benefits: Benefits of MVP development Rapid validation of product viability MVP enables organizations to swiftly determine if their product concept is viable by offering it to real users for evaluation. With user feedback, your team is equipped with invaluable insights to ensure the product meets the needs of your target audience. This ultimately helps your business avoid investing resources in products that may lack demand or market value. Minimized development costs By focusing on essential features during the MVP development process, your company prevents resource wastage on non-critical components. This leads to reduced development costs and more efficient use of available resources. Reduced risks Testing the market with an MVP eliminates the risk of developing a full product that might not be successful. If the MVP receives positive feedback, then your organization can be more confident about investing additional resources into further development. Faster time-to-market MVP accelerates the software development timeline by prioritizing only core features. This rapid development approach facilitates quicker launch of a functional product, giving your solution an early competitive edge in the market. Iterative improvement An MVP lays the foundation for iterative development. Using user feedback and real-world usage data, project managers can make informed refinements, ensuring the product evolves to meet user needs. High adaptability to market changes The flexibility of an MVP allows a company to quickly adapt to changing market conditions. Starting with a basic version makes it easier for your software to pivot or adjust alongside rapidly-evolving trends. MVP vs. PoC vs. Prototype In software development, MVP, proof of concept (PoC), and prototype are terms that are often misunderstood. Let’s clarify each one: MVP vs. PoC vs. Prototype Proof of Concept  PoC is a preliminary validation of an idea or solution’s technical feasibility. Typically, a PoC involves creating a simplified version to showcase core functionalities. Its primary goal is to determine if a proposed solution is technically viable and worth further investment. Check out comprehensive PoC template for your upcoming project. Prototype A prototype is a physical or digital model that represents the design and functionality of a product. It provides a visual and interactive preview of how the final product will look and operate. Prototypes range from basic sketches to detailed, interactive mock-ups and are used to gather user feedback, test usability, and refine design elements. Minimum viable product Unlike a PoC or prototype, an MVP is a fully functional version of a product with essential features that deliver value to targeted users. It’s developed for actual use by customers and focuses on solving real problems, albeit in a simplified form. The purpose of an MVP is to collect user feedback, validate assumptions, and iteratively improve the product based on real-world usage. FAQs about MVP Development How much does it cost to build an MVP? Developing a minimum viable product typically costs between $25K and $50K. However, the budget can vary based on the complexity of key features and cutting-edge technologies exploited. How long should it take to build an MVP? The timeline for MVP development ranges from 3 to 5 months, depending on factors such as feature complexity, design intricacy, and the resources allocated to the project. What are some successful MVP software development examples? Many well-known companies started with MVPs that have evolved into major enterprises, including: Amazon: Originated as an online bookstore and expanded into a vast e-commerce platform. Airbnb: Began as a platform for renting spare rooms and homes, catering to travelers seeking affordable lodging. Dropbox: Initially launched as a file-sharing service with cloud storage, later enhancing features based on user feedback. Instagram: Started as a simple photo-sharing app and grew with added functionalities like filters, stories, and video sharing. How to measure MVP success? Success metrics for an MVP vary based on your company’s specific goals. However, key indicators of success are: User engagement Conversion rates Retention Customer lifetime value (CLV) Revenue growth Qualitative feedback from users Comparisons against industry benchmarks to assess performance relative to competitors. What are some types of MVP? MVPs generally fall into two categories: Low-fidelity MVPs: These validate core ideas with minimal development, such as pre-order pages or landing pages. High-fidelity MVPs: More functional and closer to the final product, offering detailed and interactive experiences, e.g., concierge MVPs, Wizard of Oz MVPs, and single-feature MVPs. Final Thoughts about MVP Development MVP development offers significant benefits to businesses by allowing them to test their ideas in the market with minimal investment. This approach ensures concepts are viable and meet market needs before committing to full-scale development, thus reducing risks and optimizing resource allocation. Hopefully, our detailed guide has been of some help to your business’ MVP development journey. If your company needs skilled developers to carry out an MVP project, our team at LTS Group is ready to assist. We offer custom web and application development services tailored to meet your unique requirements. Whether it’s full-scale or MVP development services, our solutions are high-quality and efficient to help your business thrive! Website: https://ltsgroup.tech/ Tel: (+84) 24-6660-7474 Fanpage: https://www.linkedin.com/company/lts-group-vietnam/ { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "How much does it cost to build an MVP?", "acceptedAnswer": { "@type": "Answer", "text": "Developing a minimum viable product typically costs between $25K and $50K. 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