Work With Me

Leading organizations through the age of AI.

Khalid Turk

Executive Leadership | AI Transformation | Healthcare | Governance

Healthcare technology executive, author, speaker, and advisor focused on turning emerging technology into responsible transformation, stronger organizations, and measurable outcomes.

SPEAKING & MEDIA
ADVISORY SERVICES

Across the institutions, stages, and communities shaping the conversation

HIMSS

CHIME

ViVE

HFMA

AI4

Stanford

UC Berkeley

Harvard Kennedy School

ISACA

about

Technology Changes Quickly. Leadership Has To Endure.

Khalid Turk is a healthcare technology executive, author, speaker, and advisor whose work sits at the intersection of artificial intelligence, digital transformation, healthcare, and leadership.

Over more than two decades, he has led complex technology environments across public and private healthcare, helping organizations modernize critical systems, strengthen digital foundations, govern emerging technologies, and translate innovation into operational outcomes.

As Chief Healthcare Information Technology Officer for the County of Santa Clara Health System, Khalid leads technology across a large public healthcare environment, supporting hospitals, ambulatory care, behavioral health, public health, and other essential services.

His work increasingly focuses on a defining leadership challenge: how organizations can capture the value of AI while preserving governance, human judgment, organizational readiness, and purpose.

Beyond his executive role, Khalid writes, teaches, advises, and speaks nationally on AI leadership, healthcare transformation, governance, organizational culture, and the future of work.

Frameworks built from lived complexity are different from frameworks built from observation. The difference is what makes them durable.

about

The Work Behind the Perspective

I do not write about healthcare transformation
from the outside.

I do not write about healthcare transformation
from the outside.

I lead it inside one of the largest public health systems in California, where technology decisions carry operational, clinical, ethical, and financial consequences at scale. Over the past two decades, I have led large-scale hospital integrations, Epic transformations, cybersecurity modernization, AI governance programs, and enterprise technology initiatives under conditions where failure was not theoretical.

That operating reality shapes everything I write, teach, and advise on today.

Frameworks built from lived complexity are different from frameworks built from observation. The difference is what makes them durable.

The numbers behind the perspective.

Scale Changes the Leadership Equation

My perspective on transformation was not developed in a laboratory, consulting engagement, or case study. It was developed while being accountable for the outcome.

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Enterprise Applications
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Employees Supported
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Staff Served

Defining Pillar

AI Governance and
Standards Leadership

As Head of Standards Operationalization at the Trustworthy Technology and Innovation Consortium (TTIC), I help operationalize emerging frameworks for clinical AI governance, including IEEE UL 2933.

My work focuses on the practical reality of responsible AI deployment inside healthcare institutions: not theoretical ethics alone, but governance systems that can survive operational pressure, regulatory scrutiny, and clinical complexity.

Inside the health
system

As co-chair of the Clinical AI Review Committee, evaluating AI vendors, reviewing deployments, and building the institutional muscle to govern intelligent systems at scale.

Inside the standards
community

At TTIC, helping translate IEEE UL 2933 and adjacent standards into artifacts that health system CIOs and CMIOs can actually deploy.

In the public
conversation

Through writing, speaking, and advisory engagements that move the conversation beyond AI hype toward the harder questions of accountability, durability, and trust.

Core Ideas

The frameworks and thesis that anchor the work.

From Digital to Intelligent Transformation

Digital was about systems. Intelligent is about agency. The leadership playbook has to change.

Governance as Infrastructure

AI governance is not a committee. It is operational plumbing. Treat it that way or pay for it later.

Durability vs. Defensibility

Most AI strategies are written to be defended in a board meeting. The better ones are written to survive a clinical incident.

The Denominator Problem

Every AI metric reported in healthcare is meaningless without the denominator. The denominator is where the truth lives.

Human-Centered AI

AI in healthcare succeeds when it earns trust, not when it asserts intelligence.

Systems That Learn

The institutions that will win the next decade are the ones that build the operational habits of continuous learning into the technology itself.

Visibility vs. Substance

Visibility without substance is a brand. Substance without visibility is a missed opportunity. The work is to compound both.

Where the Work Lives

Three platforms. One thesis. Each one serves a distinct audience and a distinct need.

THE LIT ACADEMY

Lead. Inspire. Transform.

The LIT Academy develops practical AI literacy for the people responsible for leading, approving, governing, and overseeing AI-enabled organizations.

Explore The LIT Academy

WISDOM@WORK

Leadership in the age of AI.

The intellectual property ecosystem behind the advisory work. Thought leadership essays, the In the Loop editorial cartoon series, and the newsletter that elevates the conversation.

Learn More

BOOKS

Ideas, on the page.

Published works and forthcoming releases on leadership, healthcare transformation, and the responsible scaling of AI.

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Leadership at Scale

Enterprise Transformation

Leading technology across a complex public healthcare environment spanning hospitals, ambulatory care, behavioral health, and public health.

Hospital Integration

Led technology integration supporting a major hospital acquisition on an accelerated timeline of less than 90 days.

Digital Maturity

Leadership contributing to nationally recognized digital health maturity, including HIMSS Stage 7 and CHIME Most Wired recognition.

AI Governance

Advancing responsible AI adoption through governance, executive education, organizational readiness, and enterprise decision frameworks.

Featured Talks & Conversations

Exploring the intersection of artificial intelligence, healthcare technology, and executive leadership. A curated selection of keynotes, panels, and strategic discussions.nn

The 10 AI Metrics That Will Define Healthcare in 2026

ViVE 2026

A 20-minute executive lightning talk on moving healthcare AI beyond pilots and adoption metrics toward measurable outcomes, including clinical accuracy, workflow improvement, clinician burnout, equity, safety, model drift, data quality, ROI, and depth of adoption.
Read More

CMIA Connect 2026 u2014 Keynote

A keynote tracing healthcare technology from analog medical devices to connected, predictive, AI-enabled systems, with a focus on cybersecurity, patient safety, resilience, and the evolving leadership role of healthcare technology professionals.
Read More

HIMSS 2026 / Healthcare IT Today

A HIMSS conversation with Ed Marx, AMD, and Dell Technologies exploring how AI and high-performance computing can improve healthcare workflows, operational efficiency, and patient outcomes.

Read More

HIMSS 2026

An evidence-focused discussion examining AI scribes through the lenses of clinician efficiency, documentation burden, ROI, governance, workflow design, trust, measurement, and enterprise scalability.
Read More

CIO Podcast u2014 Healthcare IT Today

A wide-ranging conversation about digital transformation, the role of the EHR, separating AI reality from hype, workforce burnout, healthcare innovation, and lessons for technology leaders. This is particularly useful for the website because it gives visitors a longer-form view of the speaker’s thinking.nn
Read More

HIMSS Northern California / Stanford

A CIO panel at Stanford featuring technology leaders from Santa Clara County Health, Stanford, UC Davis Health, and El Camino Health discussing the strategic priorities confronting healthcare CIOs.
Read More

Evanta CIO Town Hall

Executive discussion around responsible generative AI, including scaling AI safely, managing AI risk, data protection, bias, regulatory issues, and the broader question of not simply what AI can do, but what organizations should do with it.

Read More

Evanta CIO Town Hall

A CIO discussion focused on translating data and AI strategy into enterprise value, including platform strategy, prioritization, scaling, and emerging data trends.nn
Read More

IIT Bay Area Conference

A healthcare AI panel addressing the growing role of artificial intelligence in healthcare and the implications for healthcare technology leadership.
Read More

Credentials Behind the Voice

Leadership in healthcare technology is earned across decades, not titles. Mine has been earned across hospital floors, governance committees, university classrooms, conference stages, and the pages of independently published work.

Roles

  • Chief Health Information Officer (CHIO), County of Santa Clara Health System
  • Head of Standards Operationalization, TTIC
  • Co-Chair, Clinical AI Review Committee
  • Founder, Wisdom@Work and The LIT Academy
  • Board Advisor, Provation

Credentials

  • FCHIME (Fellow, College of Healthcare Information Management Executives)
  • CHCIO (Certified Healthcare CIO)
  • MBA, Institute of Business Management
  • Chief Digital Officer Program, UC Berkeley Haas
  • Executive Leadership Program, Harvard Kennedy School
  • PMP, PMI-ACP, CSM, ITIL V4

Recognition

  • LinkedIn Top Voice in Healthcare IT
  • Distinguished Speaker, ViVE 2026
  • Featured commentary on healthcare AI governance, EHR strategy, and clinical IT operations

Let us build the next chapter of healthcare leadership together.

Whether you are a health system facing intelligent transformation, an executive preparing for the next move, a board navigating AI oversight, or a publisher, podcast, or conference looking for an honest voice on healthcare and AI, I would like to hear from you.

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