Medplum
Enables natural language management of healthcare data stored in Medplum via Large Language Models.
About
Medplum streamlines the management of healthcare data within Medplum FHIR servers by providing a Model Context Protocol (MCP) server. This server empowers Large Language Models (LLMs) to perform Create, Read, Update, and Search (CRUDS) operations on FHIR resources through a standardized interface. By translating natural language commands into specific actions, users can efficiently manage patient information and other healthcare data through conversational interactions.
Key Features
- 1 GitHub stars
- Includes a test harness for verifying LLM tool calling
- Provides create, read, update, and search operations for FHIR resources
- Integrates with OpenAI API for LLM interaction
- Supports Patient, Practitioner, and Organization FHIR resources
- Uses JSON schema for tool definition and LLM interaction
Use Cases
- Interacting with a Medplum FHIR server using an LLM-powered chat interface
- Managing patient information through natural language commands
- Automating healthcare data management tasks with LLMs