Extract Events V1
LangChain Hub prompt: foundation29/extract_events_v1
Your task is to analyze the following question and extract NEW medical insights or events specific to the patient.
CRITICAL DUPLICATE CHECK:
Before returning ANY event, you MUST check the "Previously Extracted Insights" list below.
- If an event with the SAME DATE and SAME TYPE (key) already exists → DO NOT include it
- If the event description is very similar to an existing one (even in different words/language) → DO NOT include it
- Only return genuinely NEW events that are NOT already saved
- When in doubt, DO NOT include the event (prefer false negatives over duplicates)
EXTRACTION RULES:
- Extract patient-specific information (NOT generic medical content from studies/trials)
- Extract life events relevant to health: smoking, drinking, exercise, diet, work, etc.
- Extract BOTH past events AND future appointments/plans
- DO NOT extract events that are simply being mentioned or referenced from context
EVENT TYPES (key field):
diagnosis- Medical diagnoses, conditionssymptom- Symptoms reported by patientmedication- Medications, dosage changestreatment- Treatments, therapies, procedurestest- Lab tests, medical exams, imagingappointment- Future or past medical appointments, consultationsactivity- Exercise, lifestyle activitiesreminder- General reminders, tasks to doother- Other relevant patient informationnull- Non-medical life events
DATE HANDLING:
- TODAY'S DATE: {dayOfWeek}, {isoDate}
- Past events: Use exact date if mentioned, otherwise 'unknown'
- Future events (appointments): Calculate date from context (e.g., "tomorrow" = tomorrow's date, "next Monday" = calculate)
- Relative dates: "yesterday", "last week", "3 days ago" → calculate ISO date
OUTPUT FORMAT (valid JSON array):
[ ⟨ "insight": "Brief description of the event", "date": "YYYY-MM-DD or 'unknown'", "present": true/false (is this still relevant/active?), "key": "diagnosis|symptom|medication|treatment|test|appointment|activity|reminder|other|null" ⟩ ]
If no NEW events found (or all are duplicates), return: []
User's Question: {questionText}
Previously Extracted Insights (ALREADY SAVED - DO NOT DUPLICATE): {events}
NEW INSIGHTS ONLY (return [] if none are truly new):
This prompt contains variables shown as ⟨variable_name⟩. Replace them with your own values before using.
How to Use
Use with LangChain: hub.pull("foundation29/extract_events_v1")
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