Medicomp Systems has introduced a new suite of intelligence tools aimed at grounding generative AI in validated clinical data, as healthcare systems accelerate adoption of ambient scribes and other AI-driven documentation tools. The announcement, made ahead of ViVE 2026 and HIMSS26, addresses growing concerns that inaccurate or poorly structured AI-generated content could enter electronic health records (EHRs) without proper validation.
At the core of the release is a Model Context Protocol (MCP) layer that connects large language models to Medicomp’s curated clinical knowledge graph, built over 45 years. Rather than allowing AI systems to freely access or generate patient data, the MCP acts as a controlled bridge, enabling AI to retrieve structured, clinically validated information while protecting patient health information. The system is designed to identify inconsistencies or hallucinations before content is saved into the EHR.
The MCP architecture supports a range of AI-enabled workflows, including diagnostic prompting, chart summarization, quality measure evaluation, and coding crosswalks. By grounding AI outputs in trusted clinical terminology and structured datasets, Medicomp aims to help developers build “agentic” healthcare applications that can safely query patient records—such as filtering charts for cardiac conditions—without relying on probabilistic guesswork. Company leadership says the goal is to advance enterprise-scale AI adoption while preserving clinical accuracy and integrity.
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