Development Phase – Custom EHR Software Development

One of the major challenges that healthcare practices is related to managing patient data. Indeed, data-driven care delivery has improved the quality of healthcare services, but managing that healthcare data has been a problem in recent years.
Manual data entry accounts for as many as 40% of the medical errors, a study by the American Medical Association found in 2018. Though this number has improved greatly even since the rise in adoption of healthcare software systems and especially electronic health records systems.
But some of the problems still persist, like incomplete patient records often leads to delays in care along with increasing the cost to care. And the healthcare industry being highly prone to cyberattacks costs the healthcare industry almost $10.1 million.
Having said that, humans have always found a way around their problems, and healthcare professionals found a solution for this problem as well. Rather than sticking to the healthcare IT solutions provided by healthcare software development companies, they are opting for unconventional methods of custom medical software development.
That is why a surge in custom EHR software development has been observed lately. Electronic health record systems can be considered the backbone of any healthcare practice, and with a custom approach, every need can be achieved effectively and efficiently.
However, many healthcare providers get started by hiring EHR developers for development of custom EHR software, but by the prolonged development phase, the problems start piling up, leading to the failure of the system as a whole. That is why a keen attention must be given to the development phase of the custom EHR software development.
Because in the development phase you actually bring your ideation of the electronic health record system to life, it demands attention. In this blog, let’s explore the key steps involved in the development phase of the custom EHR software development.
Step 1: Requirement Gathering & Analysis

Generally the development phase spans from three to four months, however one of the most important things to note here is that, depending on the complexity of the software, the timeline can even extend.
Moving on, let’s get started with the first step of the development phase, which is gathering and identifying all the necessary things that you require for your custom EHR software development. This includes both clinical and non-clinical or administrative needs. Here is a simplified way for you to know what you require:
1. Identification of Core Functionalities: With EHR software development, you will be taking the first step to making your healthcare practice digital. It will require you to identify all the core aspects of care and the features that you need to include in the software before hiring EHR developers. Some of the most important features that you must include are dashboards for patient demographics, medical history, appointment scheduling, electronic prescriptions, and billing. In this case, some electronic prescriptions and billing will require integration with other systems. These integration requirements must also be outlined to ensure no leaf is left unturned.
2. Regulatory Compliance: Given the sensitive and confidential nature of the patient data you deal with, some rules have been put down by the regulatory bodies to ensure its safety and integrity. The necessary compliances that you need to adhere to for this are HIPAA, HITECH, GDPR, FDA, etc. Along with these compliance requirements, you also need to outline the data privacy and security measures that will ensure the security and integrity of your health information and practice integrity.
3. User Experience (UX) Design: The usability of your custom EHR software directly depends on the user-friendly nature of the software. That is the reason why designing an intuitive user interface for both patients and providers must be considered along with its alignment with your clinical workflow. Study your diverse user groups and curate the design in such a way that is accessible and usable for everyone. Adopting patient-centric EHR design practice can be the best way to ensure the software is more usable.
Step 2: System Design & Architecture
Remember, the custom EHR software development phase works like a chain reaction, where one thing will set the base for the next thing. Once you have gathered everything, the next step is to design your system. Here are some of the things that you must consider:
1. Database Design: Create a robust database to store patient information like medical records and all the other data that your custom EHR software will be generating. While creating the database design, implement best practices like data normalization and optimization for efficient data retrieval and storage.
2. Software Architecture: Outline and design the system architecture so that your front-end, back-end, and database layers align with each other. This cannot be ignored and should be done rightly to ensure the desired result is derived from the software. In this, your choice of the right technology stack plays a crucial role. That is why you sit down with your healthcare software engineering team and choose the programming languages, frameworks, and databases that meet your needs.
3. Security and Privacy: Consider all the security and privacy measures to protect patient data. Some of the best practices are implementing robust encryptions, role-based access controls, and conducting regular security audits. Along with that, outline and plan for developing a HIPAA-compliant EHR software.
Step 3: Development & Implementation

Now that you have all the plans ready, it’s time you actually develop or code the software. Here is a brief overview of everything that goes on at this stage:
1. Front-end Development: Front-end development is basically the development of all the systems that you see on the screen of the software. The first step involves building the user interface, which will include forms, customized dashboards, and reports. One of the major challenges that your EHR developers most likely encounter here is making the interface responsive and compatible for different devices and operating systems. Discussing this beforehand with the healthcare software engineering team can come in handy for this.
2. Back-end Development: Apart from the front-end development, there is also a back-end development where everything that is not seen takes place. Consider this as a guy behind the screen. To do this, your EMR developers first need to develop the server-side logic, data access layer, and code API integrations. Only after this will everything on the front end work effectively and exactly the way you want it to. Implement efficient data processing and handling practices to ensure the data moves to a decided framework.
3. Testing and Quality Assurance: Once the front end and the back end of the software are developed, the testing phase begins. In this stage, your EMR software developers must conduct thorough and different types of testing, such as unit testing, integration testing, and user acceptance testing. This is to ensure the quality of the software, identify any pre-existing bugs in the system, and fix them before the software is deployed in your practice.
4. Deployment: After your EHR developers test the software completely, your custom electronic health record systems enter the deployment phase, where the system is deployed to production servers for the users to use. Some of the things that you should overcheck before pushing the deployment button are the scalability of the software, security, and performance.
Step 4: Integration & Customization
Integration and customization are two other aspects of medical software development. While one allows you to share information with other disparate healthcare systems, the other allows you to align your software with the clinical and administrative workflows of your practices. Here are some intricacies that you must know:
1. Third-party Integrations: Apart from the systems in your ecosystem, your system needs to share data with other systems outside your specific ecosystem as well. This is where you identify such systems and integrate your system with them. Some of the most common third-party integrations that you need are LIS, pharmacy, and imaging systems. These systems can change depending on your specific needs and the specialty you are serving. Following the interoperability standards such as HL7 FHIR for seamless data exchange is a must for developing an interoperable customizable EHR.
2. Customization: Your practice works in a specific way, and your custom EHR software needs to align with it for effectiveness and efficiency. This is where customization comes into the picture to address the specific workflows and preferences of healthcare providers. To bring the factor of flexibility and scalability due to the evolving nature of the healthcare landscape, consider developing a cloud-based EHR solution.
3. Data Migration: Migrate existing patient data from the legacy systems into your new EHR to ensure the completeness of the data. Some of the best practices that you need to practice for efficient data migration are data validation and cleansing for data accuracy.
Step 5: Training & Support

After everything is said and done, here comes the last stage of your custom EHR software development, which has nothing to do with development but training the users on the developed system. Here are some things that you must consider before rolling out the system for use:
1. User Training: Create comprehensive training for all your user groups on how to effectively use the electronic health record system. Along with that, curate training material such as user manuals and online tutorials, apart from the hands-on training sessions.
2. Technical Support: Once the software is in use, there is a chance that the users might face any issues. Offering ongoing technical support comes in handy to address those in real time.
Conclusion
The development phase of custom EHR software development is one of the most time consuming processes and involves various steps from requirement gathering to coding to testing and deployment. While every step is interdependent on the previous one, it is necessary to plan everything precisely.
Only and only then, your healthcare IT solution will contribute to improving efficiency, empower your providers in making better decisions and enhance better patient care. And riding the digital wave, to future proof your custom EHR software, consider AI-powered EHR features to be included in your custom EHR software development and have a smooth digital transition of your practice.
So, what are you waiting for? Let’s get started with your custom EHR software development process.
EHR Software Development Best Practices
Download Free eBookFrequently Asked Questions
A custom EHR system is a tailored electronic health record software designed to meet the specific needs of a healthcare organization. It offers greater flexibility, customization, and integration capabilities compared to off-the-shelf solutions.
Custom EHRs offer tailored solutions, seamlessly integrating with existing workflows, enhancing efficiency, and improving patient care. Unlike commercial EHRs, they adapt to unique practice needs, ensuring optimal data management and long-term scalability.
A good EHR system should have:
- User-friendly interface for efficient data entry and retrieval
- Interoperability to seamlessly share data with other healthcare systems
- Robust security measures to protect sensitive patient information
- Advanced analytics capabilities for data-driven decision-making
- Clinical decision support tools to improve patient care
- Mobile accessibility for remote patient monitoring and communication
- Integration with other healthcare applications for streamlined workflows
The cost of developing a custom EHR system can vary widely depending on factors like complexity, features, integrations, and vendor choice. It typically ranges from $50,000 to $250,000 for custom development, plus additional costs for integration and ongoing support.
Developing a custom EHR system typically takes 6-12 months, depending on complexity and features. A basic system might be ready in 6 months, while a comprehensive one could take up to a year or longer.
EHR development faces challenges like data security, interoperability, usability, cost, and regulatory compliance. Ensuring data privacy, seamless integration with other systems, user-friendly interfaces, affordable solutions, and adherence to regulations like HIPAA are crucial for successful EHR implementation.
EHR systems offer numerous benefits, including improved patient care through better access to medical history, reduced errors, and enhanced coordination between healthcare providers. They streamline administrative tasks, improve efficiency, and facilitate data-driven decision-making. Additionally, EHRs can enhance patient engagement and satisfaction by providing easy access to health information.
To ensure the security and privacy of patient data in an EHR system, implement robust security measures such as:
- Strong access controls
- Encryption of sensitive data
- Regular security audits
- Employee training on data privacy
- Compliance with HIPAA regulations
- Use of firewalls and intrusion detection systems
- Regular software updates and patches
By prioritizing these measures, healthcare organizations can protect patient information and maintain trust.
EHR systems must comply with HIPAA for data privacy and security. They should be certified by ONC to meet interoperability standards. Additionally, they must adhere to state and local regulations, such as licensing and reporting requirements.
Choose a team with healthcare IT expertise, strong communication, and a proven track record. Assess their understanding of your needs, security protocols, and post-development support. Consider their experience with similar projects, references, and pricing transparency.
Best Practices for EHR Design and Development:
- User-Centered Design: Prioritize clinician needs and workflows.
- Interoperability: Ensure seamless data exchange with other systems.
- Data Security: Implement robust security measures to protect patient information.
- Clinical Decision Support: Integrate tools to aid in diagnosis and treatment.
- Regular Updates: Keep the EHR up-to-date with the latest standards and regulations.
- Usability Testing: Conduct rigorous testing to identify and address usability issues.
- Data Quality and Integrity: Implement data validation and cleaning processes.
To ensure EHR interoperability, choose a system with open standards (e.g., HL7 FHIR), integrate with health information exchanges (HIEs), and prioritize data security. Collaborate with other healthcare providers to establish common data formats and exchange protocols. Regularly update and maintain your EHR system to adapt to evolving standards and technologies.
The future of EHR technology holds immense promise. Key trends include enhanced interoperability for seamless data sharing, integration of AI and machine learning for advanced analytics and decision support, increased focus on patient engagement through personalized portals, and robust cybersecurity measures to safeguard sensitive data.
AI and machine learning can revolutionize EHR systems by automating data entry, improving data accuracy, enhancing patient care, and enabling predictive analytics. This leads to streamlined workflows, faster decision-making, and better patient outcomes.
EHR data migration faces challenges like data quality issues, data security risks, interoperability problems, data volume, and the complexity of data mapping and transformation. These can lead to delays, errors, and potential disruptions in patient care.
To ensure the usability and user experience of your EHR system, focus on:
- Intuitive Design: Create a simple, clear, and consistent interface.
- Efficient Workflows: Design workflows that minimize clicks and maximize productivity.
- Regular User Testing: Gather feedback from users to identify pain points and areas for improvement.
- Customization: Allow users to personalize their workspace to suit their preferences.
- Contextual Help: Provide easy-to-access help and tutorials.
Best Practices for EHR Training and Support:
- Tailored Training: Customize training to users’ roles and experience levels.
- Hands-on Practice: Provide ample opportunity for practical application.
- Ongoing Support: Offer continuous support through help desks, FAQs, and training resources.
- Effective Change Management: Communicate changes clearly and address concerns promptly.
- User Feedback: Encourage user feedback to identify pain points and improve the system.
To measure EHR ROI, consider these key metrics:
- Reduced operational costs: Analyze savings in administrative tasks, paper usage, and labor hours.
- Improved efficiency: Track increased appointment slots, faster billing cycles, and reduced wait times.
- Enhanced revenue: Evaluate higher reimbursement rates, increased patient volume, and additional revenue streams.
- Better patient outcomes: Assess improved patient satisfaction, reduced readmissions, and enhanced care quality.
- Risk mitigation: Quantify reduced liability risks due to improved documentation and error reduction.
Here are some common mistakes to avoid in EHR development:
- Ignoring User Experience: Not prioritizing user-friendly interfaces can lead to low adoption and errors.
- Overcomplicating the System: A cluttered and complex EHR can hinder efficiency.
- Neglecting Interoperability: Lack of seamless integration with other systems can impede data sharing.
- Insufficient Security Measures: Weak security can compromise patient data privacy.
- Ignoring Data Quality Issues: Inaccurate or incomplete data can lead to poor decision-making.
- Rushing the Implementation Process: A hasty implementation can result in unforeseen problems.
To stay updated on EHR trends and technologies, consider these strategies:
- Attend Industry Conferences: Participate in events like HIMSS or AMIA to network with peers and learn from experts.
- Subscribe to Healthcare IT Newsletters: Receive regular updates on the latest news and insights.
- Follow Healthcare IT Influencers: Engage with thought leaders on social media platforms like Twitter and LinkedIn.
- Join Online Forums and Communities: Participate in discussions and share experiences with other healthcare professionals.
- Continuously Educate Yourself: Take online courses and webinars to enhance your knowledge and skills.