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The sprawling health system believes artificial intelligence should never replace the judgment of clinicians and must be carefully assessed, says Dr. Daniel Yang, who offers a closer look at Kaiser's successful rollout of a genAI tool for clinicians, among other insights..

At the HIMSS AI in Healthcare Forum in Brooklyn next month, keynote speaker Tom Lawry will offer some no-nonsense perspective on the steps health systems need to take to make the most of their artificial intelligence investments.

Amid funding cuts and thin financial margins, health systems can rely on AI to reveal millions in uncaptured revenue.

Clinicians can accelerate digital tech adoption by identifying challenges, working with IT staff to find tools that can help and engaging key stakeholders to vet those tools, says Penn Medicine's Anna Schoenbaum.

Sarah Gloyne, RN, nurse supervisor of the innovation design unit at the Omaha-based health system, discusses how to make nurses happy with new technology and shares keys to success with a recent RTLS deployment.

Seventy percent of calls require no human intervention. Data is free of human error. Providers save more than two hours per day. Staff no longer are tied up on calls and patients are kept out of phone trees – no one is placed on hold.

Taking a patient history upfront via telemedicine has been very fruitful for the high-demand specialty provider. By combining history via virtual care with a then more limited in-person visit, care can be delivered more efficiently – and more patients can be seen.

Fostering a culture of transparency, accuracy, and respect for patient data may be key to fully realise AI's potential in healthcare, says a healthcare data analyst.

An extension for Oracle electronic health record users connects mobile, home and rural care providers to patient EHR data, regardless of network connectivity, to improve health data interoperability and patient care.

Yesha Patel, from Keck Medicine of USC, offers a sneak peek at her HIMSS AI in Healthcare Forum presentation, which shows how the health system has pulled off major implementations of AI technologies both acquired and homegrown.