medical-entity-extractor

name medical-entity-extractor description Extract medical entities (symptoms, medications, lab values, diagnoses) from patient messages. license MIT metadata {"author":"NAPSTER AI","maintainer":"NAPSTER AI","openclaw":{"requires":{"bins":"[Truncated]"}}} Medical Entity Extractor Extract structured medical information from unstructured patient messages. What This Skill Does Symptom Extraction : Identifies symptoms, severity, duration, and progression Medication Extraction : Finds medication names, dosages, frequencies, and side effects Lab Value Extraction : Parses lab results, vital signs, and measurements Diagnosis Extraction : Identifies mentioned diagnoses and conditions Temporal Extraction : Captures when symptoms started, how long they've lasted Action Items : Identifies requested actions (appointments, refills, questions) Input Format [ { "id" : "msg-123" , "priority_score" : 78 , "priority_bucket" : "P1" , "subject" : "Medication side effects" , "from" : "patient@example.com" , "date" : "2026-02-27T10:30:00Z" , "body" : "I've been feeling dizzy since starting the new blood pressure medication (Lisinopril 10mg) three days ago. My BP this morning was 145/92." } ] Output Format [ { "id" : "msg-123" , "entities" : { "symptoms" : [ { "name" : "dizziness" , "severity" : "moderate" , "duration" : "3 days" , "onset" : "since starting new medication" } ] , "medications" : [ { "name" : "Lisinopril" , "dosage" : "10mg" , "frequency" : null , "context" : "new medication" } ] , "lab_values" : [ { "type" : "blood_pressure" , "value" : "145/92" , "unit" : "mmHg" , "timestamp" : "this morning" } ] , "diagnoses" : [ { "name" : "hypertension" , "context" : "implied by blood pressure medication" } ] , "action_items" : [ { "type" : "medication_review" , "reason" : "possible side effect (dizziness)" } ] } , "summary" : "Patient reports dizziness after starting Lisinopril 10mg 3 days ago. BP elevated at 145/92. Possible medication side effect requiring review." } ] Entity Types Symptoms Name, severity (mild/moderate/severe), duration, onset, progression (improving/stable/worsening) Medications Name, dosage, frequency, route, context (new/existing/stopped) Lab Values Type (BP, glucose, cholesterol, etc.), value, unit, timestamp, normal range Diagnoses Name, context (confirmed/suspected/ruled out) Vital Signs Temperature, heart rate, respiratory rate, oxygen saturation, blood pressure Action Items Type (appointment, refill, question, callback), urgency, reason Medical Terminology Handling The skill recognizes: Common abbreviations (BP, HR, RR, O2 sat, etc.) Brand and generic medication names Lay terms for medical conditions ("sugar" → diabetes, "heart attack" → MI) Temporal expressions ("since yesterday", "for the past week") Integration This skill can be invoked via the OpenClaw CLI: openclaw skill run medical-entity-extractor --input '[{"id":"msg-1","priority_score":78,...}]' --json Or programmatically: const result = await execFileAsync ( 'openclaw' , [ 'skill' , 'run' , 'medical-entity-extractor' , '--input' , JSON . stringify (scoredMessages), '--json' ]); Recommended Model : Claude Sonnet 4.5 ( openclaw models set anthropic/claude-sonnet-4-5 ) Privacy & Security All processing happens locally via OpenClaw No data is sent to external services (except Claude API for LLM processing) Extracted entities remain in your local environment