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The AI Health Pulse
Each Monday, one idea, tension, or shift worth paying attention to — as we build cultures of trust, design for readiness, and lead with integrity through the change AI is bringing to healthcare.
The AI Health Pulse is a Monday brief for healthcare executives facilitating the development of AI in healthcare. These briefs help navigate the friction and trade-offs that are most likely to hinder AI deployment. These briefs provide original research and less popular information for subscribers. Our past editions are fully accessible below.
Every edition
What we've been thinking about
When the Software Stops Asking
When the Patient Becomes the Training Data
The Prior Authorization Arms Race
What the Scribe Leaves Behind
The Partner Test
What the Model Inherits
Who Answers for the Model?
The Procurement Trap
The AI Readiness Diagnostic
The Chief AI Officer Mandate
The Innovation Tax: How Unresolved Data Problems Compound Against Every Strategic Bet
AI Pilots Win: Why small AI tests succeed while full programs often fail
Where Responsibility Breaks Down
When Reconstruction Breaks Down
The Incident Response Fallacy
Your Board Will Ask About AI. The Question Will Come Too Late.
Why Oversight Without Ownership Fails
The Invisible Rationale
How Probabilistic Drafting Is Reshaping Clinical Decisions
The Oversight Debt Curve
When the Patient Brings the Algorithm
The Consent Record Is Now Evidence
The Audit Trail Illusion
Shadow AI: The Symptom, Not the Threat
The Patient Who Said No
2026 Is the Year of Oversight
The Consent Crisis
What Scalable Oversight Looks Like
Responsibility in Practice
Keeping AI Grounded in the Real World
The Hidden Infrastructure of Trust
Building Ethical Intelligence in Healthcare
The AI That Heals the System
Clinician Voices on AI That Actually Helps
Uncovering the Real Flaws in How Healthcare Work Is Designed
The Quiet Revolution: Operational AI That No One Notices (But Everyone Feels)
The Human Signal in the Data Noise
Trust by Design: Why Clinicians Do Not Trust AI (Yet)
Reclaiming Time: Designing AI That Gives Back the Day
Easing the Cognitive Load: Where AI Supports the Human Work of Care
Building AI That Works Where Care Happens
From Prior Auth to Predictive Care: How CMS and Payers Are Scaling AI for Value-Based Care
Beyond Burnout: How AI Is Powering the Future of Hospital Workforce Management
The Most Dangerous Bias in Healthcare AI
The Hidden Chaos of Healthcare Data: Why Integration Is Still a Dream
Still Chasing Integration: Why Healthcare Data Stays Disconnected
The AI You Design This Year Will Define How Patients Experience Care
The Quiet Power of AI in Healthcare: Closing Care Gaps Before They Become Costly
From Burnout to Breakthrough: 3 Ways AI Can Unburden Healthcare Teams Today
AI: The Second Set of Eyes That Doesn't Blink Under Pressure
Is Your Healthcare Innovation Strategy Built on a Fragile Foundation?
The Hidden Enemy of AI Innovation in Healthcare: Technical Debt
To Scale AI in Healthcare, Fix the Data Foundation First
Welcome to The AI Health Pulse
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