Electronic health record software is no longer expected to function as a simple digital filing system. In 2026, healthcare providers expect clinical documentation, patient data, scheduling, communication, interoperability, security, and operational workflows to be connected through one reliable platform.
However, a complete electronic health record system cannot usually be developed successfully in a single release. Hundreds of features may eventually be required, but only a focused set should be included in the first market-ready version.
This is where an electronic health record minimum viable product, or EHR MVP, can be used.
An EHR MVP is a simplified but functional version of an electronic health record platform. It is designed to support a clearly defined clinical workflow while allowing assumptions to be tested with real healthcare users. Instead of every possible feature being built, the most valuable functions are prioritized so that the product can be launched, evaluated, and improved.
The MVP approach should not be confused with incomplete or insecure development. Even an early EHR product may be used to create, receive, maintain, or transmit sensitive patient information. Therefore, privacy, security, access control, auditability, and data integrity must be built into the product from the beginning.
By working with an experienced MVP development company, healthcare founders and organizations can have a practical product scope created without ignoring the technical and regulatory responsibilities associated with health information.
This guide explains how an EHR MVP can be planned, designed, developed, tested, and launched in 2026.
What Is an EHR MVP?
An EHR MVP is the first usable version of an electronic health record product. It is usually developed for a specific healthcare setting, specialty, or workflow rather than for every type of medical organization.
For example, an early EHR platform may be designed for:
- Behavioral health clinics
- Dental practices
- Physical therapy providers
- Independent primary care practices
- Home healthcare agencies
- Telehealth providers
- Specialty outpatient clinics
- Urgent care facilities
- Rehabilitation centers
- Occupational health providers
The product may initially be designed to support one location, one care model, or a small group of clinicians. As product-market fit is established, additional modules, integrations, specialties, and administrative capabilities can be introduced.
A successful EHR MVP should allow a healthcare professional to complete a meaningful clinical workflow from beginning to end. A patient should be registered, an appointment should be scheduled, an encounter should be documented, relevant health information should be reviewed, and appropriate follow-up actions should be recorded. If these activities cannot be completed reliably, an EHR MVP has not truly been delivered.
Why Should an EHR Be Built as an MVP?
A traditional EHR platform may include scheduling, clinical documentation, e-prescribing, billing, claims management, laboratory integrations, patient engagement, analytics, population health tools, mobile access, clinical decision support, and interoperability features.
If all these modules are included in the first release, the project may become difficult to control. Development timelines may be extended, budgets may be exhausted, and important workflow assumptions may remain untested. Through an MVP approach, several advantages can be created.
Real Clinical Workflows Can Be Validated
Requirements are often collected from administrators, founders, or technical stakeholders. However, an EHR is used repeatedly by clinicians, front-desk teams, billers, medical assistants, and patients. A workflow that appears logical in a planning document may be found to be inefficient during a real patient encounter. By launching a controlled MVP, clinical workflows can be evaluated before a larger system is developed.
Development Risk Can Be Reduced
Complex features can be introduced only after demand has been confirmed. Unnecessary modules can be avoided, and the development budget can be directed toward functions that create measurable value.
Market Entry Can Be Accelerated
A focused EHR product can be introduced to a pilot group sooner than a large, all-purpose platform. Feedback can then be collected before wider adoption is pursued.
Product Decisions Can Be Supported by Evidence
Instead of features being prioritized through assumptions, product usage can be measured. Frequently used functions, abandoned workflows, support requests, and documentation patterns can be studied. Future MVP development solutions can then be based on actual user behavior.
Start With One Healthcare Problem
An EHR MVP should not be positioned as a replacement for every established healthcare platform. A narrow and valuable problem should be selected first.
For example, a behavioral health EHR MVP may be focused on intake assessments, treatment plans, progress notes, recurring appointments, and outcome measurement. A physical therapy EHR may be centered on exercise plans, functional assessments, treatment sessions, and progress tracking.
The following questions should be answered before development begins:
- Which healthcare specialty will be supported?
- Who will use the system every day?
- Which workflow is currently slow, fragmented, or expensive?
- Which existing systems must be replaced or integrated?
- Which patient information must be collected?
- Which clinical actions must be documented?
- Which reports must be produced?
- Which tasks must be completed during every patient encounter?
- Which features can safely be delayed?
- Will ONC certification eventually be pursued?
- Will the product be used by one organization or sold as a SaaS platform?
A clear product boundary should be established. Without one, the MVP may gradually be expanded until an enterprise-level EHR is being attempted.
Essential Features of an EHR MVP in 2026
The final feature list should be shaped by the intended specialty and workflow. However, several foundational capabilities are commonly required.
1. Secure User Authentication
Access to the EHR should be protected through secure user authentication. Individual accounts should be created, and credentials should not be shared between staff members. Multi-factor authentication should also be considered for users who can access clinical or administrative data. Session management, password policies, login monitoring, account recovery, and device access should be addressed during development.
Authentication should not be added shortly before launch. It should be included in the application architecture from the beginning.
2. Role-Based Access Control
Different users should be given access to different types of information.
For example:
- Clinicians may be allowed to review and update clinical records.
- Front-desk staff may be allowed to manage appointments and demographics.
- Billing users may be allowed to access insurance and payment information.
- Administrators may be allowed to manage accounts, settings, and reports.
- Patients may be allowed to view selected parts of their own records.
Permissions should be assigned according to the user’s role and operational responsibilities.
The HIPAA Privacy Rule generally requires reasonable steps to be taken so that protected health information is limited to the minimum necessary for an intended purpose. This principle should be reflected in access-control design. (HHS.gov)
3. Patient Registration and Demographic Records
A central patient profile should be provided.
Common fields may include:
- Full legal name
- Preferred name
- Date of birth
- Contact information
- Address
- Administrative sex and gender-related information where appropriate
- Emergency contacts
- Insurance information
- Preferred language
- Communication preferences
- Consent status
- Responsible party information
- Patient identifiers
Duplicate patient records should be prevented or clearly flagged. Search and matching logic should be designed carefully because incorrect patient selection can create significant clinical and operational risk.
4. Appointment Scheduling
A basic scheduling module should be included when appointment-based care is being supported. Appointments should be created, rescheduled, canceled, and marked by status. Provider availability, appointment type, duration, location, and visit format should be recorded.
Calendar views may be provided for individual clinicians, departments, and locations. Automated reminders may also be introduced through email, SMS, or mobile notifications. However, communication content should be reviewed carefully so that sensitive information is not unnecessarily disclosed.
5. Clinical Encounter Documentation
Clinical documentation is usually the central function of an EHR MVP.
At minimum, clinicians should be able to:
- Open a patient encounter
- Record the reason for the visit
- Enter structured and narrative notes
- Review relevant history
- Record observations or measurements
- Add assessments
- Document the care plan
- Sign or finalize the note
- Create an addendum when needed
Templates may be developed for specific specialties and appointment types. However, excessive documentation fields should be avoided. If a clinician is forced to complete unnecessary fields, adoption may be weakened and unsafe workarounds may be created. Draft, signed, amended, and locked note states should be defined clearly. A reliable history of changes should be maintained.
6. Problem, Allergy and Medication Lists
A longitudinal patient record should be supported through structured lists for active and historical problems, allergies, and medications. These lists should be reviewable during an encounter and updated by authorized users.
Coding systems and standardized data structures should be considered during the initial architecture phase, even when advanced interoperability is not included in the first release. If unstructured text is used for every clinical element, future data exchange and reporting may become difficult.
7. Orders and Results
Depending on the care setting, basic orders and results management may be required. In an early MVP, orders may be entered and tracked manually before complex laboratory, imaging, or external network integrations are completed. The product should still show whether an order has been requested, scheduled, completed, reviewed, or canceled.
Clinical responsibility should be made visible. Results should not simply be stored; they should be assigned for review and follow-up. External integration should be prioritized when manual entry would create unacceptable safety or operational risk.
8. Document Management
Healthcare workflows are still supported by forms, referrals, reports, consent documents, identification files, and external medical records. Secure document upload, categorization, preview, download, and retention functionality may therefore be required. Files should be linked to the correct patient and encounter. User activity should be logged, and unsupported file types should be restricted.
9. Audit Logs
System activity involving electronic protected health information should be recorded.
The HIPAA Security Rule requires mechanisms to be implemented so that activity in systems containing or using electronic protected health information can be recorded and examined. Authentication, integrity protections, access controls, and transmission security are also addressed by the rule. (HHS.gov)
An audit log may capture:
- Successful and failed login attempts
- Patient records viewed
- Records created or changed
- Notes signed or amended
- Documents downloaded
- Records exported
- Permission changes
- User account changes
- Administrative actions
Logs should be protected from unauthorized alteration and should be searchable by authorized administrators.
10. Patient Access
A basic patient portal may be included in the MVP or introduced in an early post-launch phase.
Patients may be allowed to:
- Review appointments
- Update contact details
- Complete intake forms
- Read selected clinical information
- Download documents
- Send secure messages
- Review care instructions
- Request appointments
Patient access should be planned as a product requirement rather than as an optional visual layer. ONC advises EHR developers to account for the privacy and security obligations of healthcare users while making it easier for patients to access, review, and use their information. (ONC Health IT)
11. Data Export
Patient and organizational data should not be trapped inside the platform. At minimum, practical export capabilities should be provided for individual patient records, operational reports, and migration needs.
If ONC certification is being pursued, additional certification criteria and electronic health information export requirements may apply. The ONC Health IT Certification Program is voluntary, but certified technology may be required by certain customers or external programs. Certification criteria can be selected based on the product and customer requirements. (ONC Health IT)
12. Basic Reporting
A limited reporting dashboard should be included so that operational activity can be measured.
Early reports may include:
- Appointments by status
- Patient registrations
- Encounter completion rates
- Unsigned notes
- Provider activity
- Cancellations and no-shows
- Referral sources
- Outstanding tasks
- User activity
- Data quality exceptions
Advanced business intelligence does not need to be included in the MVP. However, the underlying data model should be structured so that meaningful reporting can later be supported.
Interoperability Requirements for a 2026 EHR MVP
Interoperability should not be treated as a future problem. Even when external integrations are limited in the MVP, the architecture should be prepared for standardized data exchange.
FHIR, or Fast Healthcare Interoperability Resources, is widely used for modern healthcare APIs. SMART App Launch is used to support authorization and application access to FHIR-based resources.
Current ONC testing tools evaluate standardized APIs using SMART App Launch, US Core profiles, and FHIR Bulk Data capabilities. As of July 2026, the official ONC Inferno environment supports multiple versions of the US Core Implementation Guide and provides test kits for SMART App Launch and standardized API conformance. (Inferno)
For an EHR MVP, the following approach may be used:
- A structured internal data model should be created.
- Clinical concepts should be mapped to appropriate standards.
- A versioned API layer should be planned.
- FHIR-compatible endpoints should be introduced for priority resources.
- SMART-based authorization should be considered for external applications.
- Automated conformance testing should be added.
- Import and export use cases should be tested with realistic data.
USCDI Version 3 became the baseline standard in the ONC Health IT Certification Program on January 1, 2026 under the HTI-1 final rule. Therefore, products intended for certification should be planned around the applicable 2026 certification requirements and data expectations. (ONC Health IT)
A complete certification scope may not be needed for the first pilot. However, expensive rework may be prevented when certification and interoperability requirements are considered during product architecture.
HIPAA and Security Requirements
“HIPAA-ready” should not be treated as a single feature or vendor label. Compliance is created through technology, organizational policies, contracts, procedures, risk management, training, and ongoing oversight.
The HIPAA Security Rule requires administrative, physical, and technical safeguards to be implemented for electronic protected health information. The confidentiality, integrity, and availability of that information must be protected by covered entities and business associates. (HHS.gov)
The following controls should be considered during MVP development:
- Encryption in transit and at rest
- Role-based permissions
- Multi-factor authentication
- Audit logging
- Secure session management
- Backup and restoration procedures
- Vulnerability management
- Incident response planning
- Secure software development practices
- Business associate agreements
- Access reviews
- Workforce security procedures
- Data retention and deletion policies
- Disaster recovery planning
- System monitoring
- Secure secrets and key management
A formal security risk analysis should be conducted. HHS describes risk analysis as a foundational step through which risks and vulnerabilities to electronic protected health information are identified and appropriate safeguards are selected. (HHS.gov)
Security should also be incorporated into the development lifecycle. NIST’s Secure Software Development Framework provides high-level practices that can be integrated into software development processes to reduce software vulnerabilities. (NIST Computer Security Resource Center)
A checklist should not be used as a substitute for legal, privacy, compliance, and cybersecurity review. Requirements should be evaluated according to the product, customer type, data flow, hosting arrangement, and contractual responsibilities.
Should AI Be Added to the First EHR Version?
AI features are increasingly being requested for clinical documentation, summarization, coding assistance, workflow automation, and patient communication. However, AI should not automatically be added to an EHR MVP.
A narrow administrative use case may be tested first. For example, an internal tool may be used to classify support tickets or suggest appointment categories without making clinical decisions.
Greater caution should be applied when AI is used to:
- Recommend diagnoses
- Prioritize patients
- Suggest treatments
- Interpret clinical data
- Analyze medical images
- Generate clinical risk scores
- Recommend medications
- Replace professional review
The FDA’s 2026 clinical decision support guidance explains how certain CDS software functions may be excluded from the medical device definition, while other functions may fall under FDA oversight. Each software function should therefore be evaluated individually. (U.S. Food and Drug Administration)
For most EHR MVPs, reliable documentation and workflow functionality should be established before advanced AI features are introduced.
Features That Should Usually Be Delayed
The MVP should be kept focused. The following features may often be deferred unless they are central to the initial use case:
- Advanced revenue cycle management
- Multi-payer claims automation
- Full e-prescribing infrastructure
- Complex laboratory network integrations
- Population health analytics
- Predictive clinical decision support
- AI-generated treatment recommendations
- Custom telehealth infrastructure
- Wearable device integrations
- Marketplace functionality
- Multi-country compliance
- Advanced inventory management
- Large-scale data warehousing
- White-label customization
- Extensive mobile applications
- Highly configurable workflow builders
Some of these functions may be essential for a specific specialty. In that case, lower-priority features should be removed so that the MVP remains manageable.
Recommended EHR MVP Development Roadmap
An EHR MVP roadmap should be divided into controlled phases. The exact duration will depend on the specialty, product complexity, integrations, certification goals, and existing technology. The following roadmap is illustrative rather than universal.
Phase 1: Product Discovery and Validation
The problem, users, care setting, and commercial model should first be defined.
Interviews should be conducted with clinicians, administrators, patients, compliance stakeholders, and operational staff. Existing workflows should be observed rather than merely described.
The following deliverables should be produced:
- Product vision
- Target user profiles
- Workflow maps
- Problem statements
- Initial feature inventory
- MVP boundaries
- Risk assumptions
- Success metrics
- Integration inventory
- Compliance responsibility map
Phase 2: Compliance and Technical Planning
Before interface design is finalized, the movement of patient data should be mapped.
It should be documented:
- Where information will be collected
- Where it will be stored
- Which systems will receive it
- Which users will access it
- Which vendors will process it
- How it will be encrypted
- How activity will be audited
- How data will be backed up
- How access will be revoked
- How information will be exported or deleted
Hosting, identity management, API architecture, database design, monitoring, and disaster recovery should be planned.
Phase 3: UX Design and Prototyping
EHR design should be based on clinical efficiency. A clickable prototype should be created for the most important workflows. These may include patient registration, appointment scheduling, chart review, clinical documentation, note signing, and follow-up planning.
The prototype should be tested with actual intended users.
The following should be observed:
- Number of clicks required
- Information that is difficult to find
- Repeated data entry
- Confusing terminology
- Missing decision context
- Delays during documentation
- Unsafe defaults
- Alert fatigue
- Accessibility barriers
- Mobile and tablet usability
Phase 4: Foundational Development
The first development sprint should be focused on the product foundation.
The following components may be built:
- Authentication
- User management
- Organization settings
- Role-based permissions
- Patient identity model
- Audit logging
- Encryption controls
- API framework
- Database structure
- Error monitoring
- Logging
- Automated deployment pipeline
- Backup processes
These components may not be visually impressive, but the reliability of the entire EHR will depend on them.
Phase 5: Core Feature Development
The primary user workflows should then be developed. Clinical and operational modules should be built in small increments. Each increment should be reviewed with healthcare stakeholders.
A feature should not be considered complete simply because its code has been written. It should also be tested for usability, permissions, data integrity, errors, auditability, and recovery behavior.
Phase 6: Integration and Data Exchange
Priority integrations should be introduced after the core workflow has stabilized.
These may include:
- Laboratory systems
- Billing platforms
- Identity providers
- Communication services
- E-prescribing partners
- Existing hospital systems
- Health information networks
- Patient applications
- Payer systems
Integration failures, delayed responses, duplicate messages, and unavailable external services should be handled safely. A clinical workflow should not be left in an unknown state because an external API becomes unavailable.
Phase 7: Quality Assurance and Security Testing
Testing should be performed at several levels.
Functional Testing
Each workflow should be tested against approved requirements.
Integration Testing
Data exchange between modules and external systems should be verified.
Permission Testing
Each user role should be tested to confirm that unauthorized information cannot be accessed or changed.
Security Testing
Vulnerability scanning, penetration testing, dependency analysis, and configuration review should be conducted.
Performance Testing
The system should be tested under expected and elevated user loads.
Clinical Workflow Testing
Realistic patient scenarios should be completed by intended users.
Data Integrity Testing
Records should remain accurate during editing, synchronization, export, failure recovery, and migration.
Recovery Testing
Backup restoration and service recovery procedures should be tested rather than assumed.
Phase 8: Pilot Launch
The EHR should first be launched with a controlled pilot group. One clinic, one department, or a limited number of clinicians may be selected. During the pilot, support should be provided closely and product behavior should be monitored.
The following should be measured:
- Time required to complete documentation
- Percentage of completed encounters
- Number of support requests
- User login frequency
- Error rates
- System availability
- Patient registration completion
- Appointment status accuracy
- Unsigned note volume
- User satisfaction
- Data quality exceptions
- Security events
A pilot should not be used only to prove that the software works. It should be used to determine whether the product improves the intended healthcare workflow.
EHR MVP Launch Strategy
A successful launch should be treated as an operational transformation rather than a software installation.
1. A Limited Pilot Group Should Be Selected
The first users should represent the intended customer profile. They should also be willing to provide structured feedback. An entire healthcare organization should not usually be moved to an unproven product at once.
2. Data Migration Should Be Controlled
Historical patient data should be analyzed, cleaned, mapped, tested, and validated before migration. Not every old field should automatically be moved. However, clinical and legal record requirements should be evaluated before any historical information is excluded. A migration rehearsal should be performed, and totals should be reconciled.
3. Training Should Be Role-Based
Clinicians, administrators, schedulers, and billing staff should not receive identical training. Each user should be shown the workflows that apply to their role. Practice environments and realistic patient scenarios should be provided.
4. Launch Support Should Be Prepared
A clear escalation process should be established for:
- Login problems
- Missing patient records
- Documentation errors
- Integration failures
- Performance issues
- Security concerns
- Data migration questions
- Workflow confusion
Support requests should be categorized so that product improvements can be prioritized.
5. Rollback and Downtime Plans Should Be Documented
An EHR may become unavailable because of software, infrastructure, network, or third-party failures. Downtime procedures should therefore be prepared. Users should know how essential information will be accessed, how care will be documented, and how records will later be reconciled.
6. Feedback Should Be Structured
Feedback should not be collected only through informal conversations. In-product analytics, surveys, interviews, support tickets, task completion data, and workflow observation should be combined. Requests should then be evaluated according to clinical value, safety, frequency, commercial importance, and development effort.
Common EHR MVP Development Mistakes
Too Many Specialties Are Supported
Different specialties require different documentation structures and workflows. When too many care settings are included, the product may become generic and difficult to use.
Security Is Added Late
Retrofitting access control, auditing, encryption, and data isolation can be expensive. These controls should be included in the foundation.
Certification Is Assumed to Be Automatic
An EHR product is not automatically ONC-certified because FHIR or HIPAA-related features have been included. Certification is a defined process involving applicable criteria, testing, and an ONC-Authorized Certification Body. (ONC Health IT)
Clinical Users Are Consulted Too Late
A product may be technically correct but operationally unusable. Clinicians and staff should be involved throughout discovery, prototyping, development, and pilot testing.
Every Feature Is Custom-Built
Some functions may be delivered more safely and efficiently through qualified third-party partners. Identity, communication, e-prescribing, laboratory connectivity, and payment processing may be integrated rather than recreated.
Vendor contracts, security practices, business associate responsibilities, service availability, and data access should still be reviewed.
Interoperability Is Deferred
When a closed data model is created, future FHIR APIs, migration tools, and integrations may become expensive. Standardized structures should be considered from the beginning.
Clinical Decision Support Is Introduced Without Regulatory Review
A feature may become subject to FDA oversight depending on its intended use and functionality. Clinical decision support functions should be reviewed before they are released. (U.S. Food and Drug Administration)
How an MVP Development Partner Can Help
Building healthcare software requires more than general application development experience.
A qualified MVP development company should be able to support:
- Product discovery
- Clinical workflow mapping
- Technical architecture
- UI/UX design
- HIPAA-aware engineering
- Interoperability planning
- FHIR integration
- Secure cloud infrastructure
- Quality assurance
- Pilot implementation
- Product analytics
- Post-launch scaling
The right partner should also explain which features should be built, which should be integrated, and which should be delayed.
Through specialized MVP development services, unnecessary complexity can be reduced while essential clinical and security requirements are protected.
Why Choose Beadaptify for EHR MVP Development?
Building an EHR MVP requires more than standard software development expertise. Clinical workflows, patient data security, interoperability requirements, user experience, scalability, and regulatory considerations must all be addressed from the beginning. At Beadaptify, specialized MVP development services are provided to help healthcare startups, clinics, and digital health companies transform ideas into secure and scalable products. Every project is supported through comprehensive design & development services, including product discovery, workflow planning, UI/UX design, technical architecture, development, quality assurance, integration, and launch support. As an experienced software development company, Beadaptify ensures that essential features are prioritized, unnecessary complexity is reduced, and the product is prepared for future growth. Through tailored MVP development solutions and long-term software product development services, an EHR MVP can be developed around real clinical needs, business objectives, and evolving healthcare technology requirements.
Final Thoughts
An EHR MVP should not be built as a smaller copy of a large legacy EHR. It should be designed as a focused healthcare product that solves one important workflow problem exceptionally well. In 2026, privacy, security, data access, auditability, interoperability, and patient access must be considered from the earliest planning stage. USCDI, FHIR, SMART App Launch, ONC certification requirements, information-sharing expectations, and FDA considerations may all influence product decisions depending on the intended market and functionality.
The strongest results will be achieved when clinical workflows are validated before extensive development is completed. A controlled feature set should be selected, secure foundations should be established, and the product should be tested with real healthcare users. An EHR does not need to be built all at once. It needs to be built on the right foundation.
FAQs About EHR MVP Development
What features should be included in an EHR MVP?
An EHR MVP should generally include secure user authentication, role-based access, patient registration, appointment scheduling, clinical documentation, patient records, medication and allergy lists, audit logs, document management, basic reporting, and data export capabilities. The final feature set should be determined by the healthcare specialty, intended users, and primary clinical workflow.
How long does it take to build an EHR MVP?
A focused EHR MVP may take approximately four to nine months to plan, design, develop, test, and launch. The timeline may be extended when complex integrations, data migration, advanced clinical workflows, multi-location support, or certification requirements are included. A detailed timeline should be prepared after product discovery and technical planning have been completed.
How much does EHR MVP development cost?
The cost of building an EHR MVP depends on the number of features, user roles, integrations, platforms, compliance requirements, design complexity, development team, and project timeline. A basic specialty-focused product may require a smaller investment, while an EHR with billing, laboratory, e-prescribing, interoperability, and advanced reporting capabilities will require a larger budget. An experienced MVP development company can help define a realistic scope and cost estimate.
Does an EHR MVP need to be HIPAA compliant?
When protected health information is created, received, maintained, or transmitted, applicable HIPAA requirements must be addressed. Security safeguards, access controls, audit logs, encryption, risk analysis, policies, vendor agreements, and operational procedures may all be required. Compliance should not be treated as a single software feature and should be reviewed with qualified legal, privacy, and security professionals.
Does an EHR MVP need ONC certification?
ONC certification is not required for every EHR MVP. However, it may be needed when the product is intended to support customers, programs, or reimbursement models that require certified health information technology. Future certification goals should be discussed during the planning stage so that the product architecture can be prepared accordingly.
Can AI features be added to an EHR MVP?
AI features can be added, but they should be introduced carefully. Administrative use cases such as document classification, workflow assistance, or basic summarization may be considered first. Features that influence diagnoses, treatments, clinical decisions, or patient risk may require additional testing, professional oversight, and regulatory evaluation.
Can an existing healthcare system be integrated with an EHR MVP?
Yes. An EHR MVP can be integrated with laboratory systems, billing platforms, identity providers, communication tools, payment gateways, patient portals, e-prescribing services, and other healthcare technologies. Integration requirements should be identified early because they can significantly influence the architecture, timeline, and development cost.
