Medplum Monthly Update - February 2026
February was a productive month for Medplum. We shipped four releases — v5.0.14, v5.0.15, v5.1.0, and v5.1.1, including a minor version bump reflecting the depth of new capabilities — with over 130 commits from 25+ contributors. The biggest themes this month were WebSocket subscription stability and performance improvements, AI-powered provider experiences, scheduling refinements, and revenue cycle tooling — all advancing our 2026 roadmap priorities.
Identity Management - A Practical Guide
Healthcare applications require careful decisions about user authentication and access control. Whether you're building an EHR, a clinical workflow tool, or a patient portal, getting identity management right from the start will save you from costly architectural mistakes down the road.
This guide breaks down the key decisions you'll face when integrating with a FHIR-based platform like Medplum, explains the tradeoffs, and recommends approaches that work well for most healthcare organizations.
Medplum Monthly Update - January 2026
January was a packed month for Medplum. We shipped three patch releases (v5.0.11, v5.0.12, v5.0.13), published the 2026 Roadmap, and landed over 100 commits from 20+ contributors. The biggest themes this month were scheduling, the Provider app, and site reliability — all directly advancing our 2026 roadmap priorities.
Medplum 2026 Roadmap
As we kick off 2026, we're excited to share Medplum's vision for the year ahead. Our open-source healthcare development platform has experienced substantial growth throughout 2025:
Medplum Year in Review 2025

An incredible year of growth, innovation, and community. From v5 release to expanding our developer ecosystem, 2025 marked several milestones for Medplum's open-source healthcare platform.
Terminology Service Updates in Medplum v5
As part of the Medplum v5 release, we've been hard at work delivering several key improvements to our FHIR Terminology Services, which power Medplum's rich features for handling coded values:
- Supporting synonyms in
ValueSet/$expand, allowing users to find codes by a number of different search terms - Scaling our implementation of the
ConceptMap/$translateoperation to handle maps with over a million entries - Updating our library of UMLS code systems with their latest release, including several new code systems around medications and supplements and a mapping between related code systems and RxNorm
- A collection of performance enhancements that speed up ValueSet expansion and code validation by a significant margin
- (In beta) The option to validate all required terminology bindings in resources on write
Below we'll discuss each of these changes in more detail and give examples of the features available in Medplum's Terminology Services today.
Scheduling Agents for Healthcare Operations: A Deep Dive with Unity AI
Slideshow: View Presentation
This is a transcript summary of the October 2025 webinar with Medplum and Unity AI. Medplum CEO Reshma Khilnani interviews Unity AI CTO Cody Hall.
Reshma: We recently hosted a webinar exploring the intersection of AI, healthcare operations, and open-source infrastructure. I was joined by Cody Hall, CTO and Co-Founder of Unity AI, to discuss how his team is solving one of healthcare's most persistent bottlenecks: scheduling, using AI Agents.
Medplum v5 is Released
We are pleased to announce the Release of Medplum v5, the next major version of the open source healthcare developer platform.
As outlined in our preparatory post in May, Medplum v5 represents a comprehensive and necessary modernization of our core stack. This release ensures our platform maintains the highest standards of performance, security, and developer experience by aligning with the latest stable versions of our critical runtime and tooling dependencies.
HealthChain: A New Open Source Integration with Epic
We're excited to share a new open-source project from the community that addresses a common developer challenge: integrating with legacy healthcare systems. HealthChain, an open-source Python framework, makes it easier to connect AI/ML pipelines to healthcare systems.
This project is a perfect example of how the open-source community is tackling real-world problems. It was created by Jennifer Jiang-Kells, an honorary researcher at the University College London Hospitals (UCLH) NHS Foundation Trust, highlighting its roots in a premier healthcare institution.
FHIR + AI for Life Sciences
Hello everyone,
Thank you so much for joining us today for our FHIR and AI for Life Sciences webinar. It was great to see many familiar and new faces from the broader healthcare community.
We wanted to share the recording for anyone who missed it or who would like to check it out again!