Barry P. Chaiken, MD, MPH

Former Chair, HIMSS | Board-Certified in Preventive Medicine | Public Health Physician

Barry advises healthcare executives, boards, and technology leaders on the governance structures required to integrate artificial intelligence responsibly into care delivery. His work centers on institutional accountability, workflow alignment, and the preservation of trust in clinical decision-making.

The Perspective

Healthcare artificial intelligence is not primarily a technology initiative. It is an institutional responsibility.

Organizations often adopt new capabilities without first defining governance structures, clarifying accountability, or aligning innovation with clinical workflow. When implementation falters, the failure is rarely technical. It is structural.

Barry’s work emphasizes governance clarity, operational discipline, and institutional accountability as prerequisites for sustainable innovation.

Institutional Accountability in the Age of AI

As artificial intelligence becomes embedded in clinical decision-making, healthcare leaders face governance questions that extend beyond technical performance. How should algorithms that influence life-or-death decisions be evaluated? What oversight structures reduce systemic risk? How can health systems preserve patient trust as automation expands?

These questions define the leadership challenge—not whether AI will replace physicians, but how institutions remain accountable as technology reshapes care.

Barry applies this perspective across speaking engagements and advisory roles, combining clinical rigor with systems-level analysis and a direct understanding of patient experience within institutional healthcare systems.

What Barry Actually Talks About

Barry concentrates on issues where healthcare organizations must balance innovation with institutional accountability. His work addresses the governance, operational, and trust implications of artificial intelligence in clinical environments.

Healthcare AI Strategy & ROI

Evaluates real-world AI deployments, measurable outcomes, and disciplined scrutiny of vendor claims.

Trust in Clinical Care

Examines how algorithmic decision support affects patient trust and institutional accountability.

Algorithmovigilance & AI Governance

Applies pharmacovigilance principles to AI systems through continuous safety, bias, and drift monitoring.

Patient Safety & Clinical Workflow Redesign

Focuses on redesigning clinical workflows so AI enhances care without displacing essential human judgment.

Strategic Engagement Approach

Deep Preparation

Barry prepares each engagement specifically for the audience, aligning technical depth and case material with institutional context and objectives.

Stories That Land

Uses case-based narratives grounded in real clinical and organizational experience to translate complexity into actionable insight.

Uncomfortable Truths

Addresses governance gaps, workflow failures, and leadership blind spots directly and without rhetorical softening.

Beyond the Keynote: Executive and Board Advisory

Not all institutional challenges are addressed in a keynote setting. Barry provides strategic advisory support to healthcare systems, technology firms, and executive leadership teams navigating complex governance and AI integration decisions. His advisory work focuses on:

Discuss What Your Organization Requires

Whether you are planning a keynote presentation, exploring advisory support for AI governance, or evaluating clinical workflow redesign, Barry provides structured, disciplined guidance grounded in healthcare realities.