---
license: cc-by-4.0
pretty_name: Global Medical Institutions & Hierarchy Graph
tags:
  - healthcare-infrastructure
  - hospitals
  - entity-resolution
  - knowledge-graph
task_categories:
  - text-retrieval
size_categories:
  - 10K<n<100K
---

🏛️ **Dataset Summary**

A global directory of medical institutions and organizations covering 14,065 entities. Provides basic organizational profiles with drug pipeline association counts.

**🚀 Key Features**

- **Global Coverage:** `country` field spans institutions worldwide.
- **Drug Association Count:** `total_drug` indicates the number of drugs associated with each institution.
- **Organization Size:** `employee_number` available for ~49% of records.

**💻 Quick Start & MCP Integration**

```python
from datasets import load_dataset

dataset = load_dataset("your-org/medical-institutions", split="train")
print(dataset[0]["name"])
# Output: 'Unlimited Bio'
print(dataset[0]["country"])
# Output: 'Honduras'
print(dataset[0]["total_drug"])
# Output: 1
```

---

## 🔗 Resources
- **Developer Portal**: [open.patsnap.com](https://open.patsnap.com)
- **PatSnap Life Sciences**: [patsnap.com/solutions/life-sciences](https://www.patsnap.com/solutions/life-sciences/)
- **GitHub**: [github.com/patsnap](https://github.com/patsnap)