Trust and AI in Healthcare: At a Crossroads, Edelman Finds

Enthusiasm for innovation is not a guaranteed thing; furthermore, trust in AI lags trust in the overall technology sector, we find in the 2025 Edelman Trust Barometer research through a Flash Poll: Trust and Artificial Intelligence at a Crossroads, discussed in a webcast on 3 December. People in the U.S. are more than twice as likely to reject the growing use of AI than embrace it, with the embrace of AI much lower than peoples’ enthusiasm for it. Edelman conducted the poll in five countries — Brazil, China, Germany, the UK and the US — with sample sizes at least 1,000+
A Month Until #CES2026 – The Journey to Our Personal Health Operating Systems

In a month, I’ll board a plane for Las Vegas to spend a week at CES 2026, the annual electronics conference that last year brought together over 140,000 global technology stakeholders to display, demonstrate, and sell the latest in consumer-facing tech. This will be my fourteenth CES (including the virtually convened meeting held in 2021). If you want to time travel, here’s a link to an early CES post featuring “The Battle of the (Wrist)bands.” Indeed, the digital health aisle at the time had many wrist-worn activity trackers, largely amped-up pedometers, with the likes
The Shorter-Term Future of Healthtech is AI for Administration – Silicon Valley Bank Reads the Tea Leaves

Too much money is going into too many untested AI applications in health care, we learn in The Future of Healthtech 2025 from Silicon Valley Bank (SVB). While “the new healthtech is here” in the form of AI-everything, SVB points out that it’s “Provider Ops” and the back office that’s driving the sector. “Healthtech is now definitively an administrative sector, not a clinical one,” SVB asserts in the first of three key themes plot-lining the report. What sets the stage for context are these four important
What Children Can Teach Us About Using GenAI – Insights from The Alan Turing Institute and LEGO

“While children are the group that may be most impacted by the widespread deployment of generative AI, they are simultaneously the group least represented in decision-making processes relating to the design, development, deployment or governance of AI,” we learn in Understanding the Impacts of Generative AI Use on Children, research conducted by The Alan Turing Institute in partnership with the LEGO Group. But it’s the children who shared their perspectives who can teach adults about some potential positive and negative aspects of GenAI, and help inform us in managing downside risks. FYI, The Institute is headquartered in the British Library
In Health Care, Consumers Are Seeking Kindness Coupled with Efficiency

Kindness + efficiency + listening + personalization: together, these are the most important experiences consumers seek from health care touchpoints, we learn in Humanizing Brand Experience: Healthcare Edition from Monigle. In this 8th volume of the company’s Humanizing series, Monigle tracks a different pattern of patient engagement — to be sure, built on trust, yet not just as a health consumer dealing with a diagnosed condition — but more holistically for getting me and keeping me healthy and well. The implication and recommendation here is to deliver even more personalized care
One Way to Improve U.S. Healthcare, Lower Costs and Drive Outcomes? “Unvendor,” Asserts Dr. Harm Scherpbier in His New Book

Health information technology professionals charged with selecting, implementing, updating, and paying for health IT in hospital and care delivery settings are essentially the first-line “consumers” of health IT – specifically, electronic health records. But these health IT leaders feel far from empowered and choiceful as consumers in todays EHR vendor “monoculture,” Harm Scherpbier, MD, explains in his book, Unvendor. I spent time with Harm to discuss the book, its backstory, and what he hopes to accomplish by raising the issue of single-vendor health IT and how clinicians, health IT staff, and
The New “Paging Dr. Google?” DTC-AI for Health Care

While most people in the U.S. who have used large language models (like ChatGPT) for informal learning, entertainment, and getting information about products and services, 39% of U.S. adults have also tapped into LLMs to source information about physical or mental health. This insight is brought to us in the brilliantly titled report, Close encounters of the AI kind, from the Imagining the Digital Future Center at Elon University. The principle author of the survey report is the Center’s Director, Lee Rainie, whose name many of you will know from his two+ decade career at the Pew Research Center (and





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Stay tuned to Health Populi in early January as I'll be attending Media Days and meeting with innovators in digital health, longevity, and the home-for-health during