Artificial Intelligence

Medical reasoning bridges the time gap between when a patient sees a physician to talking about next steps, which makes the turnaround time to treatment faster, says Dr. Ethan Goh, executive director of Stanford ARISE.

Included Health uses tech infrastructure to incorporate care, plan, cost and quality data into one place that can be accessed by an app, says President Robin Glass, president of Included Health.

The compelling nature of what's possible is offset by the trepidation of potential patient harm, says HIMSS Chief Scientific Research Officer Anne Snowdon.

Underpayment is one of the most damaging issues financially for hospitals reporting that over a year, 32% of claims were underpaid, representing $5B in lost revenue, says John Yount, Chief Innovation Officer, FinThrive.

The success of this program speaks to the promise of AI as a tool to help doctors make diagnoses, one researcher says.

In the discussion of build vs buy, organizations should take advantage of applications by vendors that are ready to go and determine whether they have in-house expertise, says Yesha Patel, data scientist at Keck Medicine of USC.

Efforts to apply agentic or generative AI will fall short without a unified data foundation, report finds.

Key factors are if AI is shown to reduce nursing burnout and educating staff on what the tech can and can't do, says Stephen Ferrara, associate dean of AI at Columbia University and past president of the American Association of Nurse Practitioners.

If leaders are not looking at the whole enterprise, AI projects will fail to be successful, says Dr. Deepti Pandita, CMIO & VP of Clinical Informatics at University of California Irvine Health.

Execs are ready for enterprise scale adoption to embed AI into workflows and demonstrate true ROI, says Carolyn Magill, venture partner at Define Ventures.