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Archive for May 2026

What a Nurse’s Charting Pattern Knows Before the Vitals Do

By Practical AI in Healthcare | 05/31/2026
A conceptual illustration of the CONCERN early-warning AI model used in nursing informatics. It compares two nursing flow sheets: a left chart with mostly white space and minimal checkmarks indicating a stable patient, and a right chart crowded with dense documentation, checkmarks, and orange bar graphs. The image visually represents how the AI analyzes the density of a nurse's charting behavior to predict clinical deterioration.

Every hospital early-warning system makes the same assumption: to predict if a patient is deteriorating, watch the patient. The vitals, the labs, the telemetry. Sarah Rossetti, RN, PhD, built one that watches the nurse instead, and on National Nurses Day, she became the first nurse to join us on the show. Her system is called…

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How Specialized Does AI Have to Be to Actually Work?

By Practical AI in Healthcare | 05/24/2026
Generalist AI vs specialized AI illustration: a tangled multi-purpose robot on the left gives way to a row of purpose-built robots on the right, each designed for a specific job

Generalist vs. Specialized AI in Healthcare: Five Lessons

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What Patients Actually Want From Healthcare AI (And What’s Missing)

By Practical AI in Healthcare | 05/17/2026
Danny van Leeuwen wears many hats in healthcare. Five hats on a coat rack tagged Patient, Nurse, Caregiver, Advocate, Informaticist — illustrating the perspective of a patient-centered healthcare AI advocate

The Pattern in the Chart In 2009, after another cardiac workup that resolved before the test results came back, Danny van Leeuwen was diagnosed with multiple sclerosis. He had had it for 25 years. The pattern was in the chart the entire time. Twenty-five years of episodes that kept getting read as possible heart trouble…

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When AI Eats Software, What’s Left? Workflow Understanding as the Last Moat

By Practical AI in Healthcare | 05/10/2026
Illustrated diagram showing an iterative product development cycle in healthcare AI, titled '40 to 50 Iteration Loops · 9 Months · One Customer.' A circular feedback loop connects three versions of a clinical note interface (v1, v2, v3), with a doctor and a product developer conversing in the center. Annotations describe key product insights: 'I will not verbalize every finding,' 'but labs come back later,' and 'iterate again.' The hand-drawn, blueprint-style illustration emphasizes deep customer discovery and rapid prototyping in clinical workflow software development.

The Bet In 2023, three Yale data scientists — David Hidalgo-Gato, Jackson Pullman, and a third co-founder — formed Cleo Health on the heels of the ChatGPT release. The premise was deliberately broad: take generative AI and make healthcare better. The execution was deliberately narrow: pick one specialty, go a mile deep on its workflow,…

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The Physician Who Became a Patient and What It Taught Him About AI in Healthcare

By Practical AI in Healthcare | 05/03/2026
Barry Chaiken MD MPH healthcare IT leader and AI in healthcare expert

When the Doctor Becomes the Patient Barry Chaiken, MD, MPH, has spent decades in healthcare IT. He was the Board Chair of HIMSS. He has raised money for the Dana-Farber Cancer Institute through 200-mile charity bike rides. And when he was diagnosed with prostate cancer, he almost got treated at a community hospital without a…

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Practical AI in Healthcare explores,
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