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HIMSS26 attendees share their learnings about AI, interoperability and other hot healthcare topics at the conference.
Mikhail Golovnya, senior advisory data scientist at Minitab, says that modern AI, although it is now more accessible to non-scientists, is still just a form of machine learning and is not as powerful as some believe.
Lauri Billingsley and Mari Tietze of the University of Texas at Arlington discuss their work using AI-powered geomapping to identify areas in Texas without nearby maternal care services and pinpoint where high-risk mothers live.
Dr. Chia-Ying Liu, head of Physician Hospitalist Inpatient Division at Far Eastern Memorial Hospital, says the hospital has learned from HIMSS maturity model validation to define measurable goals first, then deploy tools to achieve them.