case-summary
FHIR एंडपॉइंट से किसी रोगी के लिए एक पूर्ण नैदानिक मामले का सारांश तैयार करें। जब रोगी का सारांश देने, मामला संकलित करने, या ट्यूमर बोर्ड के लिए तैयारी करने के लिए कहा जाए, तब इसका उपयोग करें।
npx skills add https://github.com/nvidia/dgx-spark-playbooks --skill case-summaryPrepare 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
-
Find the patient -- Query
GET /Patient?name={name}&_count=5orGET /Patient?_count=1for "first patient". Extractid, full name, birthDate, gender. -
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). -
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 areferenceRange, use that for flagging. -
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 incomponent[]). Report the most recent BP, heart rate, BMI, temperature. -
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. -
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. -
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
-
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.
============================================================