Healthcare AI Assistants

Introduction

Healthcare AI (scribes, triage, summarisation) faces strict HIPAA + safety bars. Prompts must be cautious, cited, and reviewed.

Beginner analogy: Like a medical resident — helps, never decides; documents everything.

Understanding the topic

Core concepts to understand:

• Scribes: capture clinician-patient dialogue, structure SOAP notes.
• Triage: symptom intake with safe-fail (escalate to clinician).
• Summarisation: cite EHR sources for every claim.
• HIPAA: PII handled per regs; logs sanitised.
• Always clinician-in-the-loop for clinical decisions.

Syntax reference

Visual workflow / architecture:

Audio/text → transcribe → structure → cite EHR → clinician review → save

Real-world use

DAX Copilot, Nabla, Glass Health — operating at scale in hospitals.

Best practices

• Cite EHR sources for every clinical claim.
• Default to escalation under uncertainty.
• HIPAA-compliant logging.

Hands-on exercise

Interview preparation — practice these questions:

• Q1. Healthcare AI safety patterns?
• Q2. HIPAA implications?
• Q3. Clinician-in-the-loop — design?
• Q4. Citation needs?