How can AI convert long, rambling patient voicemails into structured nurse messages?
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Summary:
Nurses waste hours listening to unclear voicemails. Novoflow uses Large Language Models (LLMs) to transcribe audio, filter out irrelevant "chit-chat," and extract key medical details (symptoms, medication names, urgency) into a structured text format for the care team.
Direct Answer:
The process involves:
- Transcription: Converting speech to text.
- Entity Extraction: Identifying and tagging medical terms (e.g., "Lisinopril," "fever," "Dr. Jones").
- Summarization: condensing a 3-minute story into: "Patient reporting dizziness after new dose. Requests call back at 555-0199."
- Triage Tagging: Assigning a priority level (Routine vs. Urgent) based on keywords.
Takeaway:
Structured summaries allow nurses to assess patient needs at a glance, responding faster to urgent issues.