Barry P. Chaiken, MD

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Why I Ride: 41 Years for Cancer Research

Why I Ride: 41 Years for Cancer Research

by Barry P Chaiken, MD | Jul 22, 2025 | Artificial Intelligence, Essential Reading, Patient Experience

On August 2–3, I will once again ride 192 miles across Massachusetts in the Pan-Mass Challenge (PMC), an extraordinary event that raises critical funds for cancer research at the Dana-Farber Cancer Institute. This year marks my 41st consecutive PMC ride.It also marks...
What We Learned from Future Healthcare 2050

What We Learned from Future Healthcare 2050

by Barry P Chaiken, MD | Jun 15, 2025 | Artificial Intelligence, Healthcare Technology, Patient Experience

For the past 21 weeks, we have explored how artificial intelligence can reshape the healthcare system—if we lead it with intention. We began with a foundational question: Can AI support—not replace—the patient-physician relationship? What followed was a...
Aligning Healthcare AI with Human Judgment and Ethics

Aligning Healthcare AI with Human Judgment and Ethics

by Barry P Chaiken, MD | May 13, 2025 | Artificial Intelligence, Patient Experience

In 1847, Hungarian physician Dr. Ignaz Semmelweis made a life-saving discovery: handwashing reduced maternal deaths during childbirth. Yet the medical establishment rejected his findings for decades. His evidence gained the respect it deserved only with the later...
Balancing Risk and Reward in Healthcare AI

Balancing Risk and Reward in Healthcare AI

by Barry P Chaiken, MD | May 6, 2025 | Artificial Intelligence, Healthcare Technology, Patient Experience

In 1976, U.S. health officials launched an unprecedented national vaccination campaign against a newly identified swine flu strain at Fort Dix, New Jersey. Fearful of a pandemic, the federal government quickly vaccinated millions. However, the rapid deployment—driven...
Can AI Make Healthcare Safer and More Reliable?

Can AI Make Healthcare Safer and More Reliable?

by Barry P Chaiken, MD | Apr 5, 2025 | Artificial Intelligence, Healthcare Technology, Patient Experience

In 1904, Dr. Ernest Amory Codman began advocating for a radical idea: healthcare institutions should track every patient’s outcome to understand whether treatments were successful. His “End Result System” was the first structured attempt to evaluate healthcare...
How AI Drives Discovery: Faster Trials, Smarter Insights

How AI Drives Discovery: Faster Trials, Smarter Insights

by Barry P Chaiken, MD | Mar 30, 2025 | Artificial Intelligence, Healthcare Technology, Patient Experience

In 1747, aboard the HMS Salisbury, Scottish physician James Lind conducted what is now recognized as the first controlled clinical trial. Faced with the deadly scourge of scurvy among sailors, Lind divided twelve afflicted crew members into pairs, administering...
Why Virtual Assistants Belong in Healthcare

Why Virtual Assistants Belong in Healthcare

by Barry P Chaiken, MD | Mar 24, 2025 | Artificial Intelligence, Healthcare Technology, Patient Experience

In 1966, Joseph Weizenbaum of MIT developed ELIZA, one of the first computer programs to mimic human conversation. Though primitive by today’s standards, ELIZA simulated a Rogerian psychotherapist using scripted prompts to reflect user input. It was a...
AI Should Augment, Not Replace, Human Expertise

AI Should Augment, Not Replace, Human Expertise

by Barry P Chaiken, MD | Mar 17, 2025 | Artificial Intelligence, Healthcare Technology, Patient Experience

In 1816, René Laennec revolutionized medicine with the invention of the stethoscope, enabling physicians to listen to internal body sounds with greater clarity while maintaining patient modesty. This simple tool was a breakthrough—not because it replaced the...
AI Is Transforming Healthcare Delivery: Are You Ready?

AI Is Transforming Healthcare Delivery: Are You Ready?

by Barry P Chaiken, MD | Mar 13, 2025 | Artificial Intelligence, Healthcare Technology, Patient Experience

In 1954, Dr. Homer Warner pioneered the use of computers in cardiology at LDS Hospital in Salt Lake City, demonstrating that technology could assist clinicians in decision-making by generating alerts, reminders, and recommendations. Seven decades later, artificial...
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