AI & ML Intelligence

"AI can fundamentally change the physician experience with an EHR by making it an intelligent partner for the clinician," says Paul Brient, chief product officer of athenahealth.

At the HIMSS AI in Healthcare Forum, physician and author Dr. Harvey Castro explored the implications as artificial intelligence expands and increasingly augments clinical decision-making. Providers need to be key players in AI development, he said.

Boston Children’s, CVS, Geisinger, UC San Diego and Wellspan are among the 28 providers and payers promising their AI and machine learning models are geared to ensure healthcare outcomes that are "Fair, Appropriate, Valid, Effective and Safe."

Now that telemedicine is mainstream, artificial intelligence is helping healthcare providers with imperatives such as patient triage. Early results are promising.

AI can improve health equity, according to Dr. Michael Howell, chief clinical officer at Google, who will discuss the evolution of the company's medically tuned LLM and make regulatory recommendations for the use of AI in healthcare.  

A healthcare consultant discusses how automation is enabling more tailored engagement that can help patients better adhere to their care plans and deliver a more personalized care experience in general.

Sumit Rana, head of research and development, discusses how the EHR giant’s system uses AI to generate progress notes, create draft responses to patient questions and assist with medical coding. And how AI sometimes can be more empathetic than a person.

Dr. Eve Cunningham, an expert in applied technologies and care transformation, previews her panel at the HIMSS AI in Healthcare Forum next month, and talks effective approaches to scaling AI systems for optimal value.

Tom Hallisey, a digital health strategy expert, previews his presentation at the HIMSS AI in Healthcare Forum next month, describing rollout best practices and discussing ways to ensure investments are targeted for maximum impact.

Its machine learning model updates predictions on hospitalized patients every 15 minutes and acts as an objective assessor of risk, helping facilitate alignment and coordination in patient care as an AI-integrated system.