Artificial Intelligence

Hippocratic AI cofounder and CEO Munjal Shah says if you build a healthcare LLM from the ground up it understands the vocabulary of healthcare better.  

Interoperability rulemaking thinks in terms of standards while AI can translate, says John Nebergall, COO of Consensus Cloud Solutions.

Doctors and nurses who use AI will replace those who don't, says Mayo Clinic Platform President Dr. John Halamka, adding that generative AI has potential to make clinicians better diagnosticians and be less burdened with some administrative tasks.

The Coalition for Health AI is a public-private community effort for best practices, enlisting government observers, says Dr. Brian Anderson, chief digital health physician at MITRE.

AI can reduce denials by drawing on the complete picture of the patient, says Niall O'Connor, chief technology officer at Cohere Health.

Clinical leaders want data, and it’s up to the analysts to provide the tools, but both need to be integrated, says Dr. Oscar C. Marroquin, chief healthcare data and analytics officer at UPMC.  

The nonprofit organization is digitizing standards for quality care called HEDIS measures using CQL language, says Edward Yurcisin, NCQA’s chief technology officer.  

While AI can generate content there's no good way yet to vet it, says Freddie Feldman, director of voice and conversational interfaces at Wolters Kluwer.

Payel Das, principal research staff member and manager in the Trusted AI department of IBM, and an IBM master inventor, said LLMs can help to fill gaps in distribution and generate insights based on the missing data.  

Real dogs and an automated puppy tell the story of patient experience and technology in healthcare.