Spaces:
Running
Running
Initial deployment: ClinicalMatch AI v2.0 — FHIR R4 · MCP (9 tools) · A2A workflow · SHARP compliance · 100k synthetic patients · Neo4j graph · GraphRAG chatbot
59abb4f | # Mock MCP Superpowers for hackathon demo | |
| def parse_trial_protocol(protocol_text: str): | |
| # Mock: Extract inclusion criteria, etc. | |
| return { | |
| "inclusion_criteria": ["Age > 18", "Diagnosis: Breast Cancer"], | |
| "exclusion_criteria": ["Prior treatment X"], | |
| "phase": "II" | |
| } | |
| def access_fhir_patient_data(patient_id: str): | |
| # Mock: Return de-identified patient data | |
| return { | |
| "age": 45, | |
| "gender": "F", | |
| "diagnoses": ["C50"], | |
| "medications": ["Drug A"] | |
| } | |
| def generate_recruitment_message(patient_id: str, trial_id: str): | |
| # Mock: Generate personalized message | |
| return f"Dear Patient {patient_id}, you may be eligible for Trial {trial_id}. Please contact your doctor." | |
| def orchestrate_a2a_workflow(patient_id: str, trial_id: str): | |
| # Mock A2A: Coordinate the superpowers | |
| protocol = parse_trial_protocol("Mock protocol text") | |
| patient_data = access_fhir_patient_data(patient_id) | |
| message = generate_recruitment_message(patient_id, trial_id) | |
| # Check eligibility (simple mock) | |
| eligible = patient_data["diagnoses"][0] in protocol["inclusion_criteria"] | |
| return { | |
| "eligible": eligible, | |
| "message": message if eligible else None | |
| } |