Physician Executive · Board Director · Clinical AI

Technology doesn’t transform care. Leaders who redesign the work do.

I bring the clinical front line into the boardroom: 14 years of hospital medicine leadership, health system trustee service, and hands-on experience moving clinical AI from a measured pilot to enterprise scale.

Miguel Angel Villagra-Diaz, MD, MBA, FACP, FHMFormer Trustee, Carson Tahoe Health System · National Clinical Governance (West)
Dr. Miguel Villagra-Diaz seated in a lounge chair, wearing a tan houndstooth blazer and blue shirt
Now leadingAmbient AI scribe implementation in hospital medicine
Pilot → EnterpriseAmbient AI scribe program, now scaling enterprise-wide
35%Fewer sepsis bundle fallouts after protocol and order-set redesign
TrusteeCarson Tahoe Health System Board, 2023–2024
2024Doximity Digital Health Advisor of the Year

Where I create value

Four ways I help organizations lead through change.

Every engagement starts with the same question: what does good look like, and how will we know we got there?

01

Board Service

A physician director who asks the pressure-testing question on quality, safety, AI, and strategy, then leaves operations to management.

Board profile
02

Fractional CMO & Executive Advisory

Part-time medical leadership with defined monthly hours: clinical strategy, physician engagement, quality, and multi-state compliance.

Engagement models
03

Clinical AI Adoption

Structured pilots with measures agreed before go-live, so AI decisions rest on evidence instead of demos.

The playbook
04

Health Tech Advisory

Clinical workflow and go-to-market input for AI and digital health companies, from a physician who has shaped products at Doximity and QuickBlox.

Advisory roles

The pilot-to-enterprise playbook

Most AI pilots fail quietly. This one was built to answer a question.

When a large management company in emergency medicine and hospital medicine asked whether an ambient AI scribe could hold up on the wards, the goal wasn’t to prove the software worked. It was to find out what had to change around it.

Read the case study
  1. Define what good looks like

    Quality and workload measures agreed before go-live, not after.

  2. Measure before and after

    A multidomain documentation-quality scorecard and adapted NASA-TLX physician workload surveys.

  3. Redesign the workflow

    Prompt optimization and template standards produced the largest quality gains.

  4. Standardize, then scale

    A physician voting committee set enterprise rules, and the company moved to enterprise scaling.

What the pilot taught us

“The gains didn’t come from the software alone. They came from redesigning the work around it.”

Lesson from the ambient AI scribe pilot, Carson Tahoe Regional Medical Center

Board perspective

The questions boards face now are clinical questions.

How do we adopt AI responsibly? How do we protect quality and safety as margins tighten? How do we keep physicians engaged through change? I’ve worked through each one at the bedside, in committee, and as a trustee.

Ideas in circulation

Speaking, writing, and conversations.

All speaking & insights

Keynote · InnovatorMD

AI Medical Scribes in Hospital Medicine: From Technology Adoption to Clinical Transformation

What the ambient AI scribe pilot measured, what it revealed, and why workflow redesign mattered more than the tool.

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Writing · Doximity Op-Med & PracticeLink

Physician leadership in an AI-enabled era

Essays on how physicians lead, adopt new tools, and shape the systems they practice in.

Browse writing

Podcast · A Doctor’s Journey

Conversations with the leaders redesigning healthcare

Physicians, founders, and health system leaders, including Dr. Robert Pearl, on moving AI and innovation from promise to practice.

Listen in

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Building a board, a clinical AI strategy, or a medical leadership team?

I welcome conversations about paid, nonprofit, and advisory board service, fractional CMO roles, clinical AI advisory, and speaking.