The Case for Open Source EMRs
Electronic medical record (EMR) systems are expensive. Commercial EMRs can cost thousands per provider per year, with additional fees for implementation, training, support, and upgrades. For small clinics, community health centers, and practices in resource-limited settings, these costs are prohibitive.
Open source EMRs offer an alternative. The software is free, the source code is available for modification, and there's no vendor lock-in. Organizations can customize, extend, and integrate without permission or licensing fees.
Two projects dominate the open source EMR space: OpenEMR and OpenMRS. While they share the "open" philosophy, they serve different markets and have distinct architectures. Understanding their differences helps you choose the right platform for your needs.
OpenEMR: The Established US-Focused EMR
Overview
OpenEMR has been around since 2001, making it one of the oldest open source EMR projects. It's designed primarily for the US healthcare market, with features aligned to American medical practices, billing requirements, and regulatory needs.
The platform is ONC-certified, meaning it meets federal requirements for meaningful use - a big deal for US practices that want to qualify for government incentive programs or avoid penalties.
Core Features
- Practice Management: Scheduling, patient registration, demographics
- Clinical Documentation: SOAP notes, problem lists, medication lists, allergy tracking
- e-Prescribing: Integrated with Surescripts and other e-prescribing networks
- Billing: Full medical billing, claims generation, payment tracking
- Patient Portal: Patients can view records, request appointments, message providers
- Reports: Clinical reports, financial reports, meaningful use reports
- Interoperability: HL7 interfaces, FHIR API, Direct messaging
Technical Architecture
OpenEMR is a traditional web application:
- Backend: PHP with a MySQL database
- Frontend: Mix of traditional server-rendered pages and modern JavaScript
- Deployment: Runs on Apache or Nginx web servers
- Platform: Linux, Windows, or macOS
The technology stack is mature and well-understood. Any web developer can work with it. Hosting requirements are modest - a small practice can run OpenEMR on a basic server or cloud instance.
Target Users
OpenEMR serves:
- Small to medium US medical practices
- Community health centers
- Free clinics
- Specialty practices (behavioral health, chiropractic, etc.)
- International clinics wanting a US-style EMR
It's particularly popular among practices that can't afford commercial EMRs but still need certification for meaningful use compliance.
Strengths
- ONC-certified: Meets US regulatory requirements
- Complete solution: Covers clinical and business needs
- Mature codebase: Two decades of development and refinement
- Active community: Forums, documentation, third-party support
- Easy deployment: Can be installed on standard web hosting
- Customizable: Open source, so you can modify as needed
Limitations
- US-centric: Not ideal for non-US healthcare systems
- User interface: Functional but not as modern as commercial EMRs
- Learning curve: Complex system with many features to learn
- Support model: Community support is free but not guaranteed; paid support available from third parties
- Customization requires technical skills: Making changes means diving into code
OpenEMR in Practice: Rural Health Clinic
A rural clinic with three providers needed an EMR to meet meaningful use requirements but had a limited budget. They chose OpenEMR:
- Installed on a local server for $2,000 in hardware costs
- Hired a consultant for $5,000 to configure and train staff
- Connected e-prescribing at no additional cost
- Set up patient portal for patient communication
- Qualified for meaningful use incentives without ongoing licensing fees
Total first-year cost: ~$7,000 versus $30,000+ for a commercial EMR. Ongoing costs are minimal (server maintenance, occasional support).
OpenMRS: The Global Health Platform
Overview
OpenMRS (Open Medical Record System) launched in 2004, designed specifically for resource-constrained environments. It originated in Africa to support HIV/AIDS care but has expanded globally to serve all types of clinical settings.
Unlike OpenEMR's focus on US practice management, OpenMRS emphasizes flexibility and adaptability. It's more of a platform than a complete EMR - you build your clinical workflows on top of it using modules.
Core Architecture
OpenMRS is built around several key concepts:
- Platform approach: Core system provides data model and APIs; functionality comes from modules
- Data model: Highly flexible, based on observations and concepts rather than fixed tables
- Modular design: Add features by installing modules (like apps on a phone)
- Multiple UIs: Different user interfaces for different users (clinicians, data entry clerks, etc.)
Technical Stack
- Backend: Java with Spring Framework
- Database: MySQL (PostgreSQL also supported)
- APIs: RESTful web services for all operations
- Frontend: Multiple options - legacy UI, reference application, custom UIs
The architecture is more enterprise-oriented than OpenEMR. Java developers will feel at home, but it's heavier and requires more resources.
Target Users
OpenMRS serves:
- NGOs and international health organizations
- Public health programs in developing countries
- Research institutions conducting clinical studies
- Specialty programs (HIV/AIDS, TB, maternal health)
- Any setting needing a highly customized EMR
It's particularly strong in low-resource settings where workflows differ dramatically from Western medicine and flexibility is paramount.
Key Features
- Patient Management: Registration, demographics, identifiers
- Encounter Forms: Customizable forms for clinical documentation
- Observations: Flexible data capture (vitals, lab results, symptoms)
- Order Entry: Medication orders, lab orders, procedures
- Reporting: Cohort building, data exports, custom reports
- Interoperability: HL7 support, FHIR modules, data exchange with other systems
Strengths
- Extreme flexibility: Adapt to any clinical workflow or data structure
- Global community: Implementations in dozens of countries, diverse perspectives
- Proven at scale: Used in national health systems managing millions of patients
- Research-friendly: Data model supports complex studies and analysis
- Active development: Large contributor base, regular releases
Limitations
- Complexity: Platform approach means more setup and configuration
- Not out-of-the-box: Requires significant customization for most use cases
- Resource intensive: Java stack needs more server resources than OpenEMR
- Steeper learning curve: Data model and architecture take time to understand
- Limited US billing: Not designed for American insurance billing workflows
OpenMRS in Practice: HIV Program in Kenya
A large HIV treatment program needed to track thousands of patients across multiple clinics:
- Deployed OpenMRS with custom forms for HIV care
- Created modules for medication adherence tracking
- Built reports for government health system reporting
- Integrated with national patient identifier system
- Set up mobile-friendly UI for community health workers
The flexibility of OpenMRS allowed them to match their exact workflow rather than changing processes to fit the EMR.
OpenEMR vs OpenMRS: Direct Comparison
| Aspect | OpenEMR | OpenMRS |
|---|---|---|
| Primary market | US private practices | Global health, NGOs, public health |
| Approach | Complete EMR out-of-the-box | Platform for building custom EMRs |
| Technology | PHP + MySQL | Java + MySQL |
| Ease of use | Moderate - many features to learn | Harder - requires configuration |
| Customization | Possible but requires code changes | Built for customization via modules |
| Billing | Full US medical billing | Basic or none (depends on modules) |
| Certification | ONC-certified for meaningful use | Not certified (not needed for target market) |
| Resource needs | Light - runs on basic servers | Heavier - needs more RAM and CPU |
| Setup time | Days to weeks | Weeks to months (for customization) |
| Best for | Small US practices needing full EMR | Custom implementations, global health programs |
Which Should You Choose?
Choose OpenEMR if:
- You're a US-based medical practice
- You need ONC certification for meaningful use
- You want a complete solution with minimal customization
- Medical billing is a primary concern
- You have limited technical resources
- You want to get started quickly
Choose OpenMRS if:
- You're implementing in a non-US setting
- Your workflows don't match traditional Western medicine
- You need extreme flexibility and customization
- You're running a public health program or research study
- You have development resources to build custom modules
- You're managing a large-scale, multi-site deployment
Getting Started
OpenEMR
- Try the demo: OpenEMR offers online demos at open-emr.org
- Install locally: Download from the website, follow installation guide, or use Docker
- Cloud option: AWS and other cloud marketplaces offer pre-configured instances
- Join community: Forums and chat for questions
- Consider professional help: Many consultants specialize in OpenEMR implementation
OpenMRS
- Explore the platform: Visit openmrs.org for documentation and demos
- Start with SDK: OpenMRS SDK simplifies development setup
- Choose a distribution: Pre-configured packages for common use cases
- Engage community: Active forums, developer calls, and conferences
- Plan customization: Budget time for building/configuring modules
Support and Services
Both projects are free, but support ecosystems differ:
OpenEMR
- Community support: Free via forums and chat
- Commercial support: Many vendors offer paid support, hosting, and customization
- SaaS options: Some companies offer hosted OpenEMR (you pay monthly, they manage servers)
OpenMRS
- Community support: Free via forums, wiki, and IRC
- OpenMRS Inc: Non-profit that coordinates the project
- Implementation partners: Organizations that specialize in OpenMRS deployments
- Developer support: Large community of contributors for custom development
Total Cost of Ownership
"Free" doesn't mean no cost. Both systems require:
- Infrastructure: Servers (physical or cloud), backups, security
- Implementation: Configuration, customization, data migration
- Training: Getting staff comfortable with the system
- Maintenance: Updates, troubleshooting, user support
- Integration: Connecting to other systems (labs, billing, etc.)
Total cost of ownership over three years typically ranges from $10,000 to $50,000 for a small practice, depending on customization needs and whether you handle IT internally or hire help. Still significantly less than commercial EMRs, which can run $100,000+ for the same period.
The Open Source Advantage
Beyond cost savings, open source EMRs offer:
- Data ownership: Your data, your database, no vendor lock-in
- Transparency: See exactly how the system works (source code available)
- Longevity: Projects don't disappear if a company goes bankrupt
- Community: Benefit from global community contributions
- Privacy: Self-host to keep data on your own servers
The Future of Open Source EMRs
Both OpenEMR and OpenMRS continue to evolve. Recent trends:
- FHIR adoption: Both projects adding FHIR APIs for modern interoperability
- Mobile support: Apps and responsive designs for tablets and phones
- Cloud deployment: Easier hosting options for organizations without IT staff
- AI integration: Early experiments with clinical decision support and automation
As interoperability requirements grow and healthcare costs remain a challenge, open source EMRs will play an increasingly important role - particularly for small practices and global health settings.
Key Takeaways
- OpenEMR: Complete US-focused EMR, ONC-certified, good for small practices
- OpenMRS: Flexible platform for custom EMRs, strong in global health settings
- Both are free, open source, and eliminate vendor lock-in
- OpenEMR is easier to deploy but less customizable
- OpenMRS requires more setup but offers extreme flexibility
- Total cost of ownership is significantly lower than commercial EMRs
- Choice depends on geography, workflow, and customization needs