Artificial Intelligence
Measuring digital maturity and building up analytics programs can help providers use AI tools to meet patient needs more effectively, says Natasha Ramontal, HIMSS senior digital health strategist.
The chiefs of three publications go over what they covered on the second day of HIMSS25, including EMRAM Stage 7 awards, the fate of telehealth and precision medicine.
The AI in Healthcare Forum, the Executive Summit and the inaugural Smart Health Transformation event all had a lot to say about artificial intelligence and its impacts. From Las Vegas, the HIMSS Media brand editors offer their perspectives.
AI and other digital tools are easing cognitive burdens for clinicians and enabling leaders to reallocate staff to higher-value tasks, says Whende Carroll, clinical informatics advisor at HIMSS.
Dr. Zafar Chaudry explains, for one thing, how AI algorithms can predict strokes before they happen so physicians can intervene and prevent them. He adds that 20% of his job is sales – convincing colleagues the tech will do the job.
The pre-conference event will offer sessions on patient engagement, the digital divide, SDOH, public health, climate and more. Matt Bishop of Open City Labs and Evelyn Gallego of EMI Advisors offer a preview.
Dr. Zafar Chaudry also discusses how the hospital first trains all staff on up-and-coming tools: Everyone takes an AI course.
At a HIMSS25 Health Equity pre-conference forum on climate change, public health and health equity, Dr. Manijeh Berenji, assistant clinical professor of environmental and occupational health at the UC Irvine School of Medicine, will explain.
Clinician comfort is growing with the use of artificial intelligence, says Shane Cooke, president and CEO of Etiometry, who sees big things for decision support applications.
Darren Webber and Nathan Licht, principal data analysts at Cedars-Sinai, preview their HIMSS25 presentation on how chart abstractors use generative AI to detect sepsis and determine treatment and are teaching LLMs to ensure improved functionality.
