--- name: case-summary description: Prepare a complete clinical case summary for a patient from FHIR endpoints. Use when asked to summarize a patient, compile a case, or prepare for tumor board. metadata: openclaw: requires: bins: ["python3"] --- Prepare a complete case summary for $ARGUMENTS Use your fhir-basics skill to query the FHIR endpoints. Use your clinical-knowledge skill to flag abnormal values and identify relevant clinical context. ## Steps 1. **Find the patient** -- Query `GET /Patient?name={name}&_count=5` or `GET /Patient?_count=1` for "first patient". Extract `id`, full name, birthDate, gender. 2. **Get active conditions** -- Query `GET /Condition?patient={id}&clinical-status=active`. Extract each condition's display name, SNOMED/ICD code, onset date, and verification status. Also query for resolved conditions and list them separately (they provide clinical history context). 3. **Get recent labs** -- Query `GET /Observation?patient={id}&category=laboratory&_sort=-date&_count=50`. "Recent" means the most recent value for each distinct LOINC code within the past 12 months. For each lab, report: name, value, unit, date, and whether it's normal/abnormal per the clinical-knowledge skill. If the Observation includes a `referenceRange`, use that for flagging. 4. **Get recent vitals** -- Query `GET /Observation?patient={id}&category=vital-signs&_sort=-date&_count=20`. For blood pressure, handle the component Observation format (LOINC 85354-9 panel with systolic/diastolic in `component[]`). Report the most recent BP, heart rate, BMI, temperature. 5. **Get current medications** -- Query `GET /MedicationRequest?patient={id}&status=active`. For each medication, report: drug name, dosage text, and drug class (per clinical-knowledge skill). Organize by drug class when possible. 6. **Get recent encounters** (optional but adds context) -- Query `GET /Encounter?patient={id}&_sort=-date&_count=5`. Report type, date, and reason if available. This shows how recently the patient was seen. 7. **Compile the case summary** with these sections: - **Demographics**: Name, age (calculated from birthDate), gender, address if available - **Active Conditions**: With codes and onset dates - **Resolved Conditions** (if any): Brief list for clinical history - **Recent Labs**: Grouped by category (metabolic, lipids, renal, hematology), abnormal values highlighted - **Recent Vitals**: Most recent BP, HR, BMI - **Current Medications**: With drug class annotations - **Clinical Flags**: Any abnormal values, potential care gaps (e.g., diabetic patient without A1c in 12 months, hypertensive with uncontrolled BP), or comorbidity patterns worth noting 8. **Disclaimer**: "This summary is auto-generated from FHIR data for research and operational use. Verify all information before clinical decision-making." ## Output Format ``` ============================================================ PATIENT CASE SUMMARY ============================================================ Generated: {date/time} Source: {FHIR endpoint URL} DEMOGRAPHICS Name: {full name} Age: {age} years (DOB: {birthDate}) Gender: {gender} ACTIVE CONDITIONS ({count}) 1. {display} (SNOMED {code}) -- onset {date} 2. ... RESOLVED CONDITIONS ({count}) 1. {display} -- resolved RECENT LABS (most recent per test, past 12 months) Metabolic: HbA1c: {value}% ({date}) ⚠ ABOVE TARGET (>7.0%) Fasting Glucose: {value} mg/dL ({date}) -- Normal Renal: Creatinine: {value} mg/dL ({date}) -- Normal eGFR: {value} mL/min ({date}) -- Normal Lipids: LDL: {value} mg/dL ({date}) ⚠ ELEVATED (>100) ... RECENT VITALS Blood Pressure: {systolic}/{diastolic} mmHg ({date}) Heart Rate: {value} bpm ({date}) CURRENT MEDICATIONS ({count}) Diabetes: - Metformin 1000mg twice daily Antihypertensive: - Lisinopril 20mg daily Statin: - Atorvastatin 40mg daily CLINICAL FLAGS ⚠ HbA1c 9.2% indicates poor glycemic control (CMS122 gap) ⚠ LDL 165 mg/dL above target for diabetic patient ✓ On statin therapy (appropriate for diabetes + elevated LDL) ✓ On ACE inhibitor (appropriate for diabetes + hypertension) ============================================================ Disclaimer: This summary is auto-generated from FHIR data for research and operational use. Verify all information before clinical decision-making. ============================================================ ```