Artificial Intelligence

The generative AI technology will supply patients with answers to healthcare-related questions and scheduling services and offer employees HR-related information.

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.

Such an approach, the group said, would allow oversight organizations to tailor their regulations to the particular risks linked to AI.

Many hospitals and health systems are quickly realizing they need what Geisinger and few others have – a medical director of AI. The prominent health system's physician AI maestro Dr. Aalpen Patel discusses his role and goes behind the scenes on a number of AI projects.

Physicians and other clinical staff at the health system are participating in the Microsoft 365 Copilot Early Access Program, exploring ways to combine LLMs with productivity apps to reduce provider burden.

Also, Orion Health has integrated Pieces AI for automatic patient summaries generation.

Also, South Korea takes a further step to enable health data interoperability.

The technology will lay the "groundwork for future healthcare innovations," says the hospital's CIO, with a scalable network able to support in-home remote patient monitoring and AI-enabled specialist prioritization.

Teams of clinicians, researchers and educators worked to find artificial intelligence-enabled approaches to healthcare challenges using real-world, de-identified patient data.