AI & ML Intelligence

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.

An expert in natural language processing discusses the need for generative AI systems that can understand an entire chart or EHR system – and describes how clinical LLMs can improve patient outcomes and prevent clinician burnout.

An artificial intelligence tool that can automatically produce a first draft of a SOAP note – for the caregiver’s approval or editing – has the potential to save clinicians an enormous amount of time, an expert says.

The White House plan for "safe, secure and trustworthy" artificial intelligence wants the Department of Health and Human Services to have a mechanism in place to collect reports of "harms or unsafe healthcare practices," and act to remedy them.

But one of the health system's top clinical leaders for imaging informatics and radiology cautions that providers must maintain critical thinking when working with artificial intelligence.

That's according to Vrinda Khurjekar, a consultant specializing in artificial intelligence and machine learning. But she cautions that the right governance and guardrails are needed before that happens.