open-medicine 0.1.0

Evidence-Based Clinical Reasoning for AI Agents — deterministic calculators, clinical guidelines, and MCP tools backed by DOI-traceable evidence.

Open Medicine

Evidence-Based Clinical Reasoning for AI Agents

Open Medicine is an open-source Python library that provides deterministic, DOI-traceable clinical reasoning for AI agents. Every calculator, score, and guideline returns its scientific source — eliminating hallucinated clinical advice.

Install

pip install open-medicine

Quick Start

Clinical Calculators

from open_medicine.mcp.calculators.chadsvasc import calculate_chadsvasc, CHADSVAScParams

result = calculate_chadsvasc(CHADSVAScParams(
    age=72,
    hypertension=True,
    diabetes=False,
    congestive_heart_failure=False,
    stroke_tia_thromboembolism=True,
    vascular_disease=False,
    female_sex=False
))

print(result.value)             # 4
print(result.interpretation)    # "CHA2DS2-VASc score is 4. High risk..."
print(result.evidence.source_doi)  # "10.1161/CIR.0000000000001193"

Guideline Retrieval

from open_medicine.mcp.guideline_engine import search_guidelines, retrieve_guideline

# Search by topic
matches = search_guidelines("atrial fibrillation anticoagulation")
# → [{"guideline_id": "acc_aha_af_2023", "title": "...", "doi": "...", ...}]

# Retrieve specific section
result = retrieve_guideline("acc_aha_af_2023", "anticoagulation")
print(result.interpretation)     # Full curated guideline text
print(result.evidence.source_doi)  # "10.1161/CIR.0000000000001193"

MCP Server (for AI Agents)

open-medicine-mcp

Exposes 4 meta-tools via the Model Context Protocol:

Tool	Purpose
search_clinical_calculators	Find calculators by keyword
execute_clinical_calculator	Run a calculator with validated parameters
search_guidelines	Find guideline sections by topic
retrieve_guideline	Retrieve curated guideline content

Available Calculators

Calculator	Clinical Use	Evidence
CHA₂DS₂-VASc	AF stroke risk	ACC/AHA 2023
HAS-BLED	AF bleeding risk	Pisters 2010
ASCVD	10-year CV risk	ACC/AHA 2013
SOFA	Organ failure (ICU)	Vincent 1996
CURB-65	Pneumonia severity	Lim 2003
GCS	Brain injury severity	Teasdale 1974
CKD-EPI	Kidney function (eGFR)	NEJM 2021
Cockcroft-Gault	Creatinine clearance	Cockcroft 1976
Rivaroxaban Dosing	Renal dose adjustment	FDA Label
Enoxaparin Dosing	Renal dose adjustment	FDA Label

Available Guidelines

Guideline	Sections	DOI
ACC/AHA AF 2023	anticoagulation, rate_control, rhythm_control	10.1161/CIR.0000000000001193
KDIGO CKD 2024	evaluation, staging, referral	10.1016/j.kint.2023.10.018
BTS CAP 2009	severity_assessment, antibiotic_therapy, discharge	10.1136/thx.2009.121434

Design Principles

• Deterministic: Same input → same output. No LLM calls, no randomness.
• Evidence-Backed: Every ClinicalResult includes a source_doi and evidence level.
• FHIR-Compatible: Outputs include LOINC codes for direct integration with EHR systems.
• Strictly Typed: Pydantic models validate all clinical inputs at the boundary.

License

MIT