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
Block the Instagram reel feed and other addictive features to drastically reduce your screentime.
A generic proxy server for applying access-control policies for a FHIR-store.
Local-first Flutter application for Parkinson's disease diet-medication education and levodopa-food interaction awareness.
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.
A Foundation Model for Multivariate Wearable Sensing of Physiological Signals.
Personal Health Insights Agent (PHIA)
Contains examples of how Open Health Stack components can be used together as the foundation for FHIR based digital health solutions
The DHDR (Digital Health Data Repository) is a repository with sample data for use with the DBDP.
Toolkit for a learning health system
Open-source hospital crisis management platform — multi-site, multi-language
Open-source Electronic Medical Records (EMR) for Canadian healthcare — HL7, FHIR, Java 21, Spring 5. Contributors welcome!
Open-source longevity sport platform with biological-age calculators, athlete profiles, and public leaderboards.
💊🧬 PharMe - Pharmaceutical insights tailored to your personal genome
⚕️ the world's first unified, lifecycle-centric regulatory framework specifically designed for autonomous AI agents in medical environments (270+ requirements, 3 risk categories).
AI-enabled toolkit for building cross-platform digital health apps
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