Core Library
kotlin-fhir
A lean, fast KMP implementation of the HL7® FHIR® data model — the foundational library for all OHS components.
View repositoryProjects are independently maintained, openly governed by a steering committee, and designed to be composed into next-gen digital health solutions.
The foundational Kotlin Multiplatform libraries for working with FHIR, plus battle-tested components for Android, access control and analytics.
View collection on GitHubA lean, fast KMP implementation of the HL7® FHIR® data model — the foundational library for all OHS components.
View repositoryKMP implementation of FHIRPath for querying and evaluating FHIR resources across platforms.
View repositoryThe next-generation, multiplatform SDK for building FHIR-native apps across Android, iOS and web from a single Kotlin codebase — the successor to the Android FHIR SDK.
View repositoriesFHIR-native libraries to build Android apps that are secure, offline-capable, and provide on-device decision support for patient-centered care.
View repositoryA privacy-preserving access layer that ensures only relevant healthcare workers can reach the patient data they need.
View repositoryTransform FHIR data into analytics-ready formats so programs can generate trusted insights faster and make better decisions.
View repositoryThe fastest way to develop and deploy a next-gen digital health solution — a complete, composable reference implementation built on the FHIR Foundations libraries.
View collection on GitHubThe reference runtime for OHS — orchestrates the building blocks into a deployable, AI-ready digital health solution.
View repositoryA KMP-based configurable reference application built on OHS components for Android and iOS.
View repositoryA web-based management tool for healthcare organisations to manage workforce hierarchies and configuration.
View repositoryCustom endpoints and access checker plugins powering all OHS Player clients.
View repositoryA neutral, model-agnostic space for collaboration on safe, effective and verifiable AI — developed with the WHO and ecosystem partners.
Supporting "verifiable AI" efforts with the WHO and ecosystem partners to ensure safe development and adoption of health AI.
Read the charterOpen tooling and shared datasets to measure the safety, quality and effectiveness of AI applied to global health workflows.
Get involvedModel-agnostic context tooling and connectors that let AI systems work safely with standards-based health data and workflows.
Get involvedHave a project to donate or an idea to support? As a Linux Foundation project, there's room to collaborate with related foundations and contribute new building blocks.
Let's talkEvery project is open and openly governed. Developers, ministries, funders and partners are welcome — contributing never requires membership.