https://github.com/unpatterned-labs/healthdata-hub

📊 An open-source workflow for harmonizing health data from multiple sources.
https://github.com/unpatterned-labs/healthdata-hub

hdx healthcare healthdata healthsites impact-ai opensource overturemaps public-health

Last synced: 6 months ago
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📊 An open-source workflow for harmonizing health data from multiple sources.

• Host: GitHub
• URL: https://github.com/unpatterned-labs/healthdata-hub
• Owner: unpatterned-labs
• Created: 2025-02-16T07:08:55.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-02-23T15:02:36.000Z (over 1 year ago)
• Last Synced: 2025-02-23T16:19:03.643Z (over 1 year ago)
• Topics: hdx, healthcare, healthdata, healthsites, impact-ai, opensource, overturemaps, public-health
• Language: Jupyter Notebook
• Homepage: https://unpatterned.org/
• Size: 16.5 MB
• Stars: 10
• Watchers: 0
• Forks: 1
• Open Issues: 6
• Metadata Files:
  • Readme: README.md

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README

          
# **Health Data Hub**  

    📊 An open-source workflow for harmonizing health facility data from multiple sources.

### ⭐ **Star the Repo**  

If you find this project valuable, **star** ⭐ this repository to support the work and help others discover it! 

---

At **Unpatterned AI Labs**, we are building an **open-source global unified data platform** to provide high-quality, accessible, and harmonized datasets for researchers, policymakers, and organizations.  

Health systems worldwide struggle with **fragmented, inconsistent, and hard-to-use datasets**, limiting their ability to plan, allocate resources, and improve healthcare delivery. While initiatives like **WHO’s Geolocated Health Facilities Data (GHFD) project** aim to close this gap, many countries still lack **clean, standardized, and easily integrable datasets**. We aim to change that.  

## 🌍 **What We're Doing**  

We are curating and harmonizing **health facility data** from multiple sources, including:  

- **Healthsites.io**  

- **Overture Maps**  

- **OpenStreetMap (OSM)**  

- **Humanitarian Data Exchange (HDX)**  

Rather than collecting new data, our focus is on **aggregating, standardizing, and simplifying access** to existing datasets using **Python and R**. Our libraries will enable developers, researchers, and organizations to seamlessly integrate health data into their workflows.  

## 🚨 **The Problem We’re Solving**  

Despite the abundance of open health data, key challenges remain:  

❌ **Fragmented & Scattered Data** – Health facility data exists across multiple platforms with no unified access point.  

❌ **Lack of Structured & Usable Data** – Many datasets are difficult to integrate due to inconsistent formats (Excel, CSV, JSON).  

❌ **Data Accessibility Barriers** – No standardized, developer-friendly tools for working with these datasets efficiently.  

## ✅ **Our Solution**  

We are building an open-source **Python & R libraries** that:  

✅ Provide **harmonized** health facility data from multiple sources.  

✅ Enable **seamless access** for research, analytics, and AI applications.  

✅ Ensure **data presence verification** (not validation).  

✅ Support **privacy-aware** usage based on data-sharing policies.  

## 💡 **Why This Matters**  

By combining **open data, AI-driven insights, and ethical governance**, we’re making **health data more accessible and actionable**.  

✔️ **Empowers researchers & policymakers** with structured health data.  

✔️ **Reduces fragmentation & improves accessibility** of global health facility data.  

✔️ **Encourages collaboration** between health organizations and data providers.  

✔️ **Sets the foundation for AI-driven insights & decision-making.**  

---

## 🚀 **How to Contribute**  

We’d love for you to be a part of this! Here’s how you can help:

### 🏥 **Point Us to Health Data Sources**  

Know of any useful **health facility datasets**? Drop a link in the issues section or create a PR! We are especially interested in **global sources beyond the US, UK, and Nigeria**.  

### 🔄 **Create a Merge Request**  

1. **Fork** this repository.  

2. **Clone** the repo and create a new branch.  

3. Make improvements, fix bugs, or add new datasets.  

4. **Submit a pull request** for review!  

### 💬 **Join the Discussion**  

Have suggestions or feedback? Open an issue or start a discussion—let’s build this together!  

---

## 📌 **Next Steps**  

🔹 Store Data in S3 or Cloud storage.

🔹 Expanding data coverage to more countries.  

🔹 Developing python / R library and API access.  

🔹 Exploring AI-based data enrichment. 

🔹 Semantic Data Layers

🔹 Using integration with placeKeys