Artificial Intelligence

The most recent winners, including Stanford Medicine, Saint Luke's and health systems in Canada and Taiwan, are proving innovative in their use of information and technology to improve care delivery.

It is one of the projects developed using its latest supercomputing infrastructure, Prescience.

Executives are changing their approach from ‘cloud first’ to ‘cloud smart.’

How is the technology being used, and how should health IT leaders respond? Venky Anant, a partner at research and consulting firm McKinsey Digital, has some answers.

Larger companies are taking an "all or nothing" approach in light of proposed legislation, one HIE leader says, but electronic health record developers can look to modernized data lakes for inspiration and place guardrails around PHI.

"ChatGPT and Healthcare" author Dr Harvey Castro says he sees a future with a LLM that will have base knowledge from medical literature along with the "right" doctors and providers inputting information to minimize hallucinations.

The tech company is building a large language model. Munjal Shah, cofounder and CEO of Hippocratic AI, explains how it will be used to make healthcare more efficient and how it differs from Google and ChatGPT's LLM models.

The developer's Viz HCM algorithm can be used to assess electrocardiograms. When findings are suspicious of hypertrophic cardiomyopathy, the app alerts cardiology specialists to provide further triage.

MITRE's Dr. Brian Anderson talks about the pros and cons of AI in cybersecurity – and the role of generative AI like ChatGPT – in a preview of his panel session at the upcoming HIMSS Healthcare Cybersecurity Forum.

A new study looked at how AI and NLP could be used in a post-acute discharge patient engagement program to address factors beyond social determinants of health and address emotional, behavioral and other barriers to recovery.