What You Should Know
- The Launch: Medicomp Systems has unveiled a new suite of intelligence tools designed to “ground” AI in clinical reality. The announcement comes ahead of the ViVE 2026 and HIMSS26 conferences.
- The Problem: As healthcare rushes to adopt generative AI (like ambient scribes), there is a growing risk of “inaccurate, incomplete, or poorly structured data” entering the Electronic Health Record (EHR) without validation.
- The Tech: Medicomp is introducing a Model Context Protocol (MCP) layer that connects wild LLMs to its curated, 45-year-old clinical knowledge graph. This allows the system to identify and filter out “hallucinations” or inconsistent data before it is saved.
The “Model Context Protocol”
A key technical innovation in this release is the addition of a Model Context Protocol (MCP) layer. This architecture allows Medicomp to safely expose its APIs to AI models without giving the AI free rein over Patient Health Information (PHI). It acts as a bridge, allowing developers to build tools for:
- Diagnostic Prompting
- Chart Summarization
- Quality Measure Evaluation
- Coding Crosswalks
By using the MCP, health tech developers can build “agentic” workflows—like asking a voice assistant to “filter this patient’s chart for all cardiac issues”—knowing the AI is retrieving structured, validated data rather than just guessing.
“Healthcare organizations are increasingly focused on advancing AI from isolated use cases into reliable, enterprise-ready capabilities,” said David Lareau, President and CEO of Medicomp. “Our approach is to enable such innovation while preserving clinical integrity.”
