Case study 01
Pilot → ScaleCleo AI ambient scribe · USACS Hospital Medicine · Carson Tahoe Regional Medical Center (Epic)
Taking an AI scribe from feasibility to enterprise scaling
The pilot showed that workflow redesign and prompt optimization, not the software alone, drove the gains in documentation quality.
The challenge
Ambient AI scribes promise relief from documentation burden. But hospital medicine notes carry quality, coding, and documentation-integrity requirements that a generic tool can miss. Leadership needed evidence, not enthusiasm.
The approach
I designed a before-and-after evaluation with measures defined in advance: a multidomain clinical documentation integrity (CDI) quality scorecard and NASA-TLX–adapted physician workload surveys. I then led implementation, outcome measurement, and physician onboarding.
The result
Documentation quality scores improved across domains, with the largest gains after prompt optimization. USACS has since moved the program from feasibility to enterprise scaling. I now serve as one of five voting physicians setting enterprise H&P and progress-note standards, clinical decision nudges, and CDI-aligned rules for the AI scribe.
Presented at InnovatorMD
“AI Medical Scribes in Hospital Medicine: From Technology Adoption to Clinical Transformation.” Request this talk
Five questions every board should ask about an AI pilot
What does good look like before go-live? Who owns the measures? What will we standardize for every clinician, and what stays customizable? How will we know whether the workflow or the tool drove the result? What evidence would make us stop?