Model Context Protocol Server for the Observational Medical Outcomes Partnership (OMOP) Common Data Model
Overview
What is OMCP?
OMCP is a Model Context Protocol Server designed for the Observational Medical Outcomes Partnership (OMOP) Common Data Model, enabling AI models to interact with healthcare data in a standardized manner.
How to use OMCP?
To use OMCP, set up the server and configure it to connect with your healthcare data stored in the OMOP format. You can then query and analyze the data through the provided API.
Key features of OMCP?
- Standardized interface for querying OMOP formatted healthcare data.
- Integration capabilities with various AI models for data analysis.
- Comprehensive documentation for easy setup and usage.
Use cases of OMCP?
- Analyzing patient outcomes using AI models.
- Conducting research on healthcare data trends.
- Facilitating data-driven decision-making in healthcare organizations.
FAQ from OMCP?
- What is the OMOP Common Data Model?
The OMOP Common Data Model is a standardized framework for organizing healthcare data to enable efficient analysis and research.
- Is OMCP open-source?
Yes! OMCP is available on GitHub under the MIT license.
- What programming language is OMCP built with?
OMCP is developed using Python.