Artificial Intelligence
The tech company is building a large language model. Munjal Shah, cofounder and CEO of Hippocratic AI, explains how it will be used to make healthcare more efficient and how it differs from Google and ChatGPT's LLM models.
There are problems prescribers face with drug-related clinical decision support alerts – but IT can help, and maybe AI, too. Anna Dover, director of product management at FDB, formerly First Databank, provides some answers.
John Nebergall, COO of Consensus Cloud Solutions, explains why interoperability standards must make the transition from securing patient health data to delivering a clear output for clinicians, and how AI can help.
The Mayo Clinic Platform president sees huge potential for artificial intelligence and machine learning, but also recognizes its risks and limitations. The longtime health IT pioneer offers insights into the projects and use cases he's most excited about.
CHAI cofounder Dr. Brian Anderson, chief digital health physician at MITRE, discusses the collaborative's Blueprint for Trustworthy AI Implementation and the importance of testability, transparency and usability.
Payers and providers can prevent overwhelming administrative burdens with machine learning strategies that look at patient needs beyond a single transaction, explained Niall O'Connor, chief technology officer at Cohere Health.
Dr. Oscar C. Marroquin, chief healthcare data and analytics officer at the UPMC health system, discusses numerous AI algorithms used to improve care delivery, and a five-year agreement with Microsoft to modernize the clinical analytics infrastructure.
Edward Yurcisin, chief technology officer at the NCQA, says the organization is using its open-source CQL engine to digitize HEDIS measures and others to improve the quality of healthcare in the U.S. and internationally with FHIR.
The use of voice interfaces to follow up with discharged patients at home can extend care and reduce readmissions, said Freddie Feldman, director of voice and conversational interfaces at Wolters Kluwer.
The prospect of LLMs filling gaps in data and generating insights based on what's missing has huge potential, says Payel Das, principal research staff member and manager in the Trusted AI department of IBM.
