{"uid":"cap_P96maxmuERyCatvXQpHzn","slug":"halowerk-buerowerk-clinical-symptom-literals-source-note-register-4da99968","name":"HALOWERK buerowerk – Clinical Symptom Literals Source Note Register","description":"HALOWERK buerowerk — bezahlte Endpunkte nach x402. 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Can you extract all the symptom literals that were discussed so we can build a structured register?"},{"title":"Telehealth session symptom logging","prompt":"Here's the transcript from a telehealth session — about 20 minutes long, one doctor and one patient. Please identify and register every clinical symptom or complaint the patient described during the call."}],"resultDescription":"A JSON object containing extracted clinical symptom literals and associated source notes registered from the input transcript segments, structured for clinical documentation purposes.","failureModes":["Empty or missing segments array returns validation error","Segment text exceeding 3000 characters per cue is rejected","Duration exceeding 1800 seconds in transcript_package is rejected","Missing required fields (start, end, text) in segments causes schema validation failure","Non-medical or ambiguous text may yield no symptom extractions","Speaker field null values are accepted but may reduce attribution accuracy"],"whenToPreferThis":"Choose this endpoint when you need to automatically extract and register clinical symptom mentions from transcribed medical meetings or consultations. It is purpose-built for clinical NLP on structured transcript data with speaker-attributed segments, making it ideal for healthcare documentation workflows where manual symptom logging from recordings is too time-consuming.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:35:07.373Z","isFirstParty":false,"canonicalSlug":"halowerk-buerowerk-clinical-symptom-literals-source-note-register-4da99968"}