Clinical
They recognize the promises of faster diagnosis and easier access to treatment and cost info, says Mark Polyak, president of analytics at Ipsos. While they're comfortable with AI for administrative tasks, they're wary of clinical applications.
"It's a disruptive technology, and we're all trying to figure it out," says Dayton VA Medical Center HTM Service Chief Zachary Arose. He discusses research applications, imaging innovations and operational efficiencies.
John Meiners, chief of mission-aligned businesses and healthcare solutions for the AHA, says it has "transformative capability" to improve knowledge and insights for cardiology research and clinical guidelines.
Large language models are "enabling a new level of patient empowerment" by helping people understand clinical notes, navigate insurance claims and much more, says Dr. Chethan Sarabu, AI and informatics strategist at OpenNotes.
"This is truly a revolutionary system, allowing us to take operative navigation to a new level, tracking implants and change in alignment in real time with no radiation with a relatively straightforward camera," says a top spine surgeon.
What does the next year in AI and genAI look like? How can and must AI help with the clinician shortage? Is fearmongering detrimental to AI's future? Greg Miller, vice president of business development at Carta Healthcare, has the answers.
At the VA, automation is helping innovate troubleshooting, maintenance other med device management tasks, says Christopher Ahn, biomedical engineer supervisor at the U.S. Department of Veterans Affairs in Dayton, Ohio.
Asan Medical Center has saved 10,587 staff hours and over 315 million won in operational costs through RPA.
Dr. Diana van Stijn, Lapsi Health CMO, talks about how the company turned an idea for a sound-based clinical tool into a new product by incorporating feedback about what features would be useful to clinicians.
That's models that work and are clinically useful, says Dr. Lukasz Kowalczyk, a physician at Colorado's Peak Gastroenterology Associates, who describes the need to strategically deploy AI across the enterprise.