Clinical Documentation Automation for a Regional Hospital System
Regional hospital system, Southeast US
01 / Challenge
Physicians were spending 3–4 hours per day on clinical documentation — discharge summaries, progress notes, and referral letters — resulting in burnout and a 22% year-over-year increase in documentation-related malpractice exposure. Three prior EHR-native tools had been rejected by compliance for data residency issues.
02 / Approach
We integrated an agentic AI documentation assistant directly into the hospital's Epic EHR environment using an on-premises model fine-tuned on deidentified clinical notes. The system drafts discharge summaries and progress notes from structured encounter data, with physician review and one-click approval before any note is committed to the chart.
03 / Outcome
Physician documentation time fell from an average of 3.8 hours to 1.1 hours per day. Note quality scores (as measured by CMO audit) improved 31%. The system processed 94,000 note drafts in its first six months with a 97.2% physician acceptance rate.
Representative case study illustrating common agentic-AI deployment patterns in Healthcare; not a specific QuettaMinds client engagement.
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