Auditable Medical Evidence MCP for AI Agents
Built on PICO: P Population · I Intervention · C Comparator · O Outcome — the clinical-research framework for structuring answerable medical questions.
Personalization Precision
“Did the cited evidence’s enrolled population actually apply to this user?”
MCP Tool
- Refine on P Population — narrow toward findings whose enrolled population matches the user
- Applicability scoring — structured fit between user state and each trial’s eligibility criteria
- FHIR ingestion — Conditions, Medications, Observations resolved to canonical identifiers
Recall
“Did we surface every relevant piece of evidence for this user?”
MCP Tool
- Expand on I Intervention · C Comparator · O Outcome — via mechanism hubs, condition hubs, and causal links
- Expand to nearby SNOMED CT concepts — sibling and parent conditions where adjacent evidence lives
- Facts extracted from NIH-funded manuscripts, which are not fully available to ChatGPT because of copyright restrictions
Hallucination
“Did the agent cite real papers and summarize them faithfully?”
MCP Tool
- Audit each claim with reported clinical study facts and a reproducible query plan
- Citation reconciliation — every cited PMC ID checked against the corpus before the addendum is shown
- Structured slots, not paraphrase — verifiable against original tables and figures, no free-text rewrites to drift from
Want to integrate? Email ops@nobsmed.com to learn more.
Prototype in ChatGPT →
Opens the No B.S. Med Custom GPT with your question prefilled. Free ChatGPT account works.
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