| --- |
| 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) |
