The Android FHIR SDK is a set of Kotlin libraries for building offline-capable, mobile-first healthcare applications using the HL7® FHIR® standard on Android.
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Updated
Mar 25, 2026 - Kotlin
The Android FHIR SDK is a set of Kotlin libraries for building offline-capable, mobile-first healthcare applications using the HL7® FHIR® standard on Android.
Open-source framework for rapid development of modern, interoperable digital health applications.
A collection of tools for extracting FHIR resources and analytics services on top of that data.
A curated list of foundation models, datasets, and tools for biosignals
Local-first Flutter application for Parkinson's disease diet-medication education and levodopa-food interaction awareness.
A generic proxy server for applying access-control policies for a FHIR-store.
Block the Instagram reel feed and other addictive features to drastically reduce your screentime.
Open-source, patient-controlled health record app with on-device AI. Aggregates medical data from 52K+ providers via FHIR R4. Offline-first. Flutter.
Kotlin FHIR is a lean and fast implementation of the HL7® FHIR® data model on Kotlin Multiplatform.
Contains examples of how Open Health Stack components can be used together as the foundation for FHIR based digital health solutions
A Foundation Model for Multivariate Wearable Sensing of Physiological Signals.
The DHDR (Digital Health Data Repository) is a repository with sample data for use with the DBDP.
Personal Health Insights Agent (PHIA)
Open-source hospital crisis management platform — multi-site, multi-language
Toolkit for a learning health system
Open-source Electronic Medical Records (EMR) for Canadian healthcare — HL7, FHIR, Java 21, Spring 5. Contributors welcome!
💊🧬 PharMe - Pharmaceutical insights tailored to your personal genome
AI-enabled toolkit for building cross-platform digital health apps
Open-source longevity sport platform with biological-age calculators, athlete profiles, and public leaderboards.
⚕️ the world's first unified, lifecycle-centric regulatory framework specifically designed for autonomous AI agents in medical environments (270+ requirements, 3 risk categories).
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