Open Source EMR
An electronic medical record is one of the few systems where the data has to outlive every vendor that touches it: a patient's history must stay readable in thirty years and move cleanly to whatever clinic comes next, which proprietary schemas and locked exports quietly prevent. The harder truth is that an EMR is a clinical operations decision as much as a software choice, since clinicians have to chart accurately during the visit and exchange usable data with labs, pharmacies, and billing. Open source EMRs build on standards like HL7 and FHIR with the database under your own roof, so the longitudinal record and its audit trail stay in formats another system can actually consume.
OpenEMR
Open source electronic health records and medical practice management with billing and scheduling
Fasten OnPrem
Self-hosted personal and family medical record viewer for manual entry and FHIR Bundle uploads
Medplum
Healthcare developer platform with FHIR APIs, auth, clinical data storage, bots, and React UI components
OpenMRS
Open source electronic medical record system for customizable, patient-based medical records
Open Hospital
Free and open-source HIMS and EHR desktop application for standalone or client-server hospital records
Frappe Health
Open source hospital information system for healthcare workflows on Frappe and ERPNext
EHRbase
OpenEHR clinical data repository for interoperable EHR backends
Ottehr
Modular, FHIR-native open-source electronic health record for developers
Bahmni
Open source EMR and hospital information system for low-resource clinical settings
Our picks
EMR covers full clinic systems, hospital suites, and developer backends, so match these to who will run and extend the record.
All-in-one clinic system: OpenEMR OpenEMR combines electronic health records with practice management, scheduling, and electronic billing in a single application, which suits a clinic that wants charting and operations in one place. It exposes a REST API and FHIR support for integration, ships multi-language internationalization, and self-hosts on Windows, Linux, macOS, or Docker.
Customizable core for implementers: OpenMRS OpenMRS is a patient-based record system built for resource-constrained settings, with a modular core you extend for a specific implementation rather than a fixed product. It is backed by a large global community and self-hosts through Docker Compose or a servlet container.
FHIR backend for custom health apps: Medplum Medplum is a developer platform rather than a finished EMR, bundling a FHIR-based API, OAuth and SMART-on-FHIR auth, a clinical data repository, server-side bots, and React UI components. Teams building their own clinical software self-host the Apache-licensed core on AWS or use the hosted option.
Bundled hospital system for low-resource sites: Bahmni Bahmni assembles several established projects into one hospital system, using OpenMRS for records, OpenERP for inventory and billing, and OpenELIS for the lab, plus DICOM and PACS for imaging. It covers registration, inpatient management, lab, stock, and reporting with SNOMED CT support.
Fitting an EMR to real clinical work
The feature checklist is the wrong place to begin, because an EMR that fits primary care can fight a behavioral health, ophthalmology, or urgent care workflow. Look at how encounters are structured, whether templates change without code, how orders and results return to the chart, and how medication reconciliation works. OpenEMR and OpenMRS take very different approaches here: OpenMRS is a customizable, modular core meant to be adapted to a specific implementation, while OpenEMR ships practice management, scheduling, and billing in one application. The real test is whether clinicians can chart accurately during the visit without a parallel system of paper notes and after-hours cleanup.
Interoperability is the project's main risk, not a checkbox. Storing demographics and notes is the easy part; the hard part is exchanging usable data with labs, imaging, pharmacies, billing, and health information exchanges. Ask which standards are supported in practice, such as HL7, FHIR, CDA, and X12, and who will build and monitor each interface. It also matters how the internal model stores data: EHRbase keeps records as openEHR archetypes, and Medplum and Ottehr are FHIR-native, which preserves structured problems, medications, and results instead of flattening the chart into documents.
Decide early who owns clinical uptime, security, and compliance evidence. An EMR needs role-based access, audit logs, tested backups, disaster recovery, and a clean way to deactivate staff, and self-hosting means owning patching, monitoring, and incident response as well. If you lack healthcare IT depth, managed hosting of the same open source code is often the safer path, because the clinical cost of downtime outweighs the savings from a lightly managed server.
Related categories
Frequently asked questions
Does an open source EMR need ONC certification?+
It depends on your setting, payer programs, and reporting obligations. Some practices need certified health IT for quality reporting or contractual requirements; others do not. Certification is not the same as clinical fit, but lacking it can block workflows tied to specific measures or incentive programs. Confirm what your payers and programs actually require with your compliance lead before you invest in customization around a particular system.
How should HIPAA security be evaluated in an open source EMR?+
Do not stop at passwords and encryption. Review audit logs, role permissions, session timeouts, data export controls, backup encryption, and how administrative and break-glass access are recorded. Medplum, for example, builds in OAuth, OpenID, and SMART-on-FHIR auth, but the deployment still carries most of the compliance weight. If a third party hosts the EMR you still need a business associate agreement and clear responsibility boundaries.
Will labs, imaging centers, and HIEs actually connect?+
Often yes, but connections are not automatic. Each partner may need interface specs, secure transport, message testing, compendium mapping, and ongoing monitoring, and someone has to own each one. HL7 or FHIR support on a feature sheet, as OpenEMR and Frappe Health advertise, is the starting point, not a finished interface. A working lab feed is an operational relationship plus message handling, so budget for building and maintaining it.
How do billing and claims work in these systems?+
It varies. OpenEMR and FreeMED include practice management and billing directly, while a backend like EHRbase or Medplum expects you to bring your own revenue cycle. Check scheduling, eligibility, charge capture, coding, claims submission, remittance posting, and denials. The trap is a clinically usable EMR that quietly creates manual billing work, so test a full visit from appointment through claim payment before committing.
What should I know about e-prescribing before choosing?+
E-prescribing depends on external networks, identity proofing, controlled-substance rules, formulary data, and pharmacy routing, so the EMR interface is only one piece. Confirm whether new prescriptions, refills, medication history, cancellations, and controlled substances are supported in your jurisdiction. Also test how medication reconciliation appears in the note, because a poor prescribing workflow becomes a patient-safety problem faster than most other gaps.
How hard is it to migrate charts from an existing EMR?+
That depends on what your old system can export and how much structured data you need to keep. Demographics are usually easiest; problems, medications, allergies, immunizations, results, scanned documents, and encounter notes need mapping and validation. Expect cleanup, duplicate merging, and clinician review. A safe migration includes test imports, sample chart audits, and a read-only retention plan for legacy records you cannot fully move.
What happens if the EMR project slows down or is abandoned?+
Plan for it before go-live. Keep deploy scripts, configuration notes, interface documentation, database backups, and export procedures under your own control, and favor systems with understandable schemas and more than one service provider. OpenMRS and OpenEMR both have long-running communities, which lowers this risk. If a project stalls, your realistic options are to maintain a fork, hire support, freeze it while migrating, or export records into a replacement.