A practical session on how healthcare AI moves beyond ambient note generation into context-aware clinical decision support. The talk would cover grounding outputs in the patient encounter, surfacing evidence with citations inside clinician workflows, preserving clinician agency, and building rigorous evals for safety and trust in live healthcare environments.
AI in Healthcare sessions at AI Engineer World's Fair 2026 in San Francisco.
Thursday, July 2, 2026
10:45 AM - 11:05 AM·20m
Track 7 · Room 2024
Capacity: 250 attendees
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Chaitanya Asawa
Engineering, Clinical Decision Support
Abridge
Chaitanya Asawa is an engineer at Abridge working on clinical decision support and clinician-directed AI workflows. Recent public writing and talks show a focus on embedding evidence-grounded decision support directly into documentation workflows while keeping clinicians in control. He previously spent over 6 years at Glean and studied at Stanford.