Physicians’ Confidence In and Use of AI is Rising, AMA Finds – Coupling Demand With Many Enabling Factors

Doctors’ use of and demand for augmented intelligence in medical practice is on the rise — with many factors that could bolster or risk adoption on the journey toward AI in the doctor’s office, based on the latest survey from the American Medical Association (AMA) published this week. The AMA polled U.S. physicians in November 2024 to gauge their views on augmented intelligence (AI) addressing doctors’ use of AI, perceived opportunities and risks, and enabling factors for adoption. This study updates AMA’s survey conducted in 2023 and found significantly growing confidence and utilization
Is There an Easy-Button for AI In Healthcare Team Well-Being? Exploring a New PC with Embedded AI

“The greatest opportunity offered by AI is not reducing errors or workloads, or even curing cancer: it is the opportunity to restore the precious and time-honored connection and trust,” Dr. Eric Topol wrote in his 2019 book, Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. In the five years since Dr. Topol looked for AI to bolster the human-touch in health care, we’ve lived, worked, and muddled our way through the COVID-19 pandemic and witnessed the growing epidemic of burnout among clinicians, the front-line of medical care. I recalled Dr. Topol’s assertion on AI’s promise for humanizing health
AI: Patients Included

“Clinical transformation with AI is easier without patients.” When Dr. Grace Cordovano heard this statement on a panel of physicians convening to share perspectives on the future of AI in health care held in early March 2024, the board-certified patient advocate felt, in her words, “insulted on behalf of the patient communities I know that are working tirelessly to advance AI that works for them.” “The healthcare ecosystem and policy landscape must formally recognize patients as end-users and co-creators of AI,” Cordovano wrote to me in an e-mail exchange. “Patients, their care partners, caregivers, and advocates are already utilizing AI
Hospital at Home: Prospects and Challenges, and Learnings from Best Buy Health

With the urgent need to identify more efficient and lower-cost health care delivery models, we look to growing evidence for digital health technologies that support the Hospital at Home (HaH) model, considered in a new review article published in late February in npj Digital Medicine, The hospital at home in the USA: current status and future prospects. Clinicians from Scripps Research and Johns Hopkins School of Medicine collaborated on this work, calling out the relatively fast adoption of HaH programs during the peak of the COVID-19 pandemic. In some parts of the world, such as Australia and Norway, “in-person at-home