awesome-digital-health

KO | EN

gitlite — search

#javascript #python #hacktoberfest #ai #golang #rust #deep-learning #linux #macos #nodejs #cli #awesome-list #security #mcp

awesome-digital-health

(★ 5)

A curated list of platforms, tools, standards, and resources for modern digital health systems, healthcare innovation, and patient-centered technology.

awesome-digital-health 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# Awesome Digital Health [![Awesome Lists](https://srv-cdn.himpfen.io/badges/awesome-lists/awesomelists-flat.svg)](https://github.com/awesomelistsio/awesome)

[![DOI](https://zenodo.org/badge/1195442201.svg)](https://doi.org/10.5281/zenodo.19673268)  
[![GitHub Sponsor](https://srv-cdn.himpfen.io/badges/github/github-flat.svg)](https://github.com/sponsors/brandonhimpfen) &nbsp; 
[![Buy Me a Coffee](https://srv-cdn.himpfen.io/badges/buymeacoffee/buymeacoffee-flat.svg)](https://buymeacoffee.com/brandonhimpfen) &nbsp; 
[![Ko-Fi](https://srv-cdn.himpfen.io/badges/kofi/kofi-flat.svg)](https://ko-fi.com/brandonhimpfen) &nbsp; 
[![PayPal](https://srv-cdn.himpfen.io/badges/paypal/paypal-flat.svg)](https://paypal.me/brandonhimpfen)

> A curated list of platforms, tools, standards, and resources for modern digital health systems, healthcare innovation, and patient-centered technology.

_Support ongoing maintenance and curation via [GitHub Sponsors](https://github.com/sponsors/brandonhimpfen)._

## Contents

- [Clinical Systems & EHR](#clinical-systems--ehr)
- [Data Standards & Interoperability](#data-standards--interoperability)
- [Healthcare Analytics](#healthcare-analytics)
- [Medical AI](#medical-ai)
- [Privacy, Security & Compliance](#privacy-security--compliance)
- [Public Health & Research](#public-health--research)
- [Telemedicine & Virtual Care](#telemedicine--virtual-care)
- [Wearables & Remote Monitoring](#wearables--remote-monitoring)

## Clinical Systems & EHR

Core systems for managing patient records, clinical workflows, and healthcare operations.

- [Epic Systems](https://www.epic.com/) — Enterprise electronic health record platform used by hospitals and healthcare systems.
- [OpenEMR](https://www.open-emr.org/) — Open-source electronic medical record and practice management system.
- [OpenMRS](https://openmrs.org/) — Open-source platform for building medical record systems in resource-constrained environments.
- [Oracle Health (Cerner)](https://www.oracle.com/health/) — EHR and healthcare IT solutions for clinical and operational workflows.

## Data Standards & Interoperability

Standards and frameworks that enable healthcare systems to exchange and understand data.

- [FHIR (Fast Healthcare Interoperability Resources)](https://www.hl7.org/fhir/) — Standard for exchanging healthcare information electronically.
- [HL7](https://www.hl7.org/) — International standards organization for healthcare data exchange.
- [LOINC](https://loinc.org/) — Standard for identifying medical laboratory observations.
- [SNOMED CT](https://www.snomed.org/) — Comprehensive clinical terminology for healthcare data.

## Healthcare Analytics

Tools and platforms for analyzing healthcare data, improving outcomes, and supporting decision-making.

- [Apache Superset](https://superset.apache.org/) — Open-source data exploration and visualization platform used in healthcare analytics.
- [Google Cloud Healthcare API](https://cloud.google.com/healthcare-api) — Managed services for storing and analyzing healthcare data.
- [OHDSI (Observational Health Data Sciences and Informatics)](https://ohdsi.org/) — Collaborative analytics ecosystem for observational health data.

## Medical AI

AI systems and frameworks for diagnostics, imaging, prediction, and clinical decision support.

- [DeepMind Health](https://deepmind.google/health/) — AI research initiatives focused on clinical and healthcare applications.
- [MONAI](https://monai.io/) — Open-source framework for medical imaging AI.
- [NVIDIA Clara](https://developer.nvidia.com/clara) — AI computing platform for medical imaging and genomics.

## Privacy, Security & Compliance

Frameworks, regulations, and tools for protecting healthcare data and ensuring compliance.

- [HIPAA](https://www.hhs.gov/hipaa/index.html) — U.S. regulation for protecting patient health information.
- [ISO/IEC 27799](https://www.iso.org/standard/62777.html) — Information security standard for healthcare organizations.
- [OpenSSL](https://www.openssl.org/) — Cryptographic library used to secure healthcare systems and communications.

## Public Health & Research

Platforms and datasets supporting epidemiology, research, and population health.

- [CDC Data & Surveillance](https://data.cdc.gov/) — Public health datasets and surveillance systems.
- [Global Health Observatory (WHO)](https://www.who.int/data/gho) — Global health statistics and indicators.
- [PubMed](https://pubmed.ncbi.nlm.nih.gov/) — Database of biomedical and life sciences research literature.

## Telemedicine & Virtual Care

Platforms and tools enabling remote consultations and virtual healthcare delivery.

- [Amwell](https://business.amwell.com/) — Telehealth platform for virtual care delivery.
- [Doxy.me](https://doxy.me/) — Browser-based telemedicine platform for clinicians and patients.
- [Teladoc Health](https://www.teladochealth.com/) — Global provider of virtual healthcare services.

## Wearables & Remote Monitoring

Devices and systems for tracking health metrics and enabling continuous monitoring.

- [Apple HealthKit](https://developer.apple.com/healthkit/) — Framework for integrating health and fitness data on iOS.
- [Fitbit Platform](https://dev.fitbit.com/) — APIs and tools for wearable health tracking.
- [Google Fit](https://developers.google.com/fit) — Platform for collecting and analyzing fitness and health data.

## Related Awesome Lists

- Awesome Health Data & Interoperability — Standards, APIs, and systems for exchanging healthcare data.
- Awesome Medical AI — AI applications in diagnostics, imaging, and clinical decision support.
- Awesome Telemedicine — Platforms and tools for remote healthcare delivery.

## Contribute

Contributions are welcome. Please ensure your submission fully follows the requirements outlined in [`CONTRIBUTING.md`](CONTRIBUTING.md), including formatting, scope alignment, and category placement.

Pull requests that do not adhere to the contribution guidelines may be closed.

## License

[![CC0](https://mirrors.creativecommons.org/presskit/buttons/88x31/svg/by-sa.svg)](http://creativecommons.org/licenses/by-sa/4.0/)

awesome-digital-health

awesome-digital-health 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

awesome-digital-health

awesome-digital-health 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README