Elevator pitch
AI-powered clinical decision support that helps doctors synthesize patient data and evidence-based recommendations in real time.
Industry
Healthcare & Clinical Practice
Problem
- Doctors spend excessive time manually searching medical literature and patient records.
- Risk of missed diagnoses or suboptimal treatment plans due to information overload.
Solution
- MCP agent aggregates patient history, lab results, and current symptoms into structured clinical summaries.
- Suggests evidence-based treatment options and flags potential drug interactions or contraindications.
Tools
patient-record-retriever: Fetch patient demographics, medical history, medications, allergies (returns structured JSON)evidence-search: Query medical literature and clinical guidelines by condition or drug (returns ranked results)drug-interaction-checker: Validate medication combinations against interaction database (returns safety flags)lab-interpreter: Analyze lab values against normal ranges and clinical context (returns interpretation notes)
Widgets
/clinical-summary: Displays patient overview, active concerns, and recommended next steps/treatment-options: Shows evidence-ranked interventions with contraindication warnings
Conversation starters
- "What are the latest treatment guidelines for a 65-year-old with Stage 2 hypertension and mild renal impairment?"
- "Check for interactions between metformin, lisinopril, and the new antibiotic I'm considering."