AI & ML Intelligence

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.

Helen Waters, chief operating officer at the EHR giant, describes the company's artificial intelligence strategy and shows how provider organizations can benefit today from NLP, LLMs, generative AI and more.

A top nurse and VP of digital health at Penn Medicine offers a wide-ranging look at how nurse leaders must help purchase, implement, use and refine ever more complex artificial intelligence tools.

The South Florida health system is testing an AI-powered system it expects to score big wins for its providers, improving the patient experience along the way.

Real-world examples from Premier Inc. showcase how machine learning and natural language processing are helping providers use structured and unstructured data to drive more efficient operations, innovate care delivery and improve patient experience.

Dr. Aalpen Patel – who holds a position that's still rare among provider organizations – discusses the need to educate the healthcare workforce in AI, and describes how the health system is applying algorithms across radiology, pop health management and other clinical use cases.