clinical AI
Traditional mental health intake often means long waits. Vincci Tang and Dr. Phil Klassen of the Davies Award-winning Ontario Shores Centre for Mental Health Services discuss how AI-assisted triage can guide patients to the appropriate care faster.
Hal Wolf, HIMSS CEO, and Dr. Mehmet Oz, CMS administrator, talk about how using digital tools, including AI agents, can help Americans manage their own care and stay healthier longer, potentially unlocking massive economic gains.
HIMSS Changemaker Awardee Farhana Alarakhiya discusses Afya Gemma, an AI-powered tool that provides best practice protocols with local context in English or Swahili for Kenyan doctors practicing in remote clinics.
Kaiser Permanente's Surya Shenoy and Jerri Westphal say that intelligent AI agents can help provide patient education and post-discharge support, but stress that nurses must guide content creation to avoid misinformation.
Anne Snowdon, HIMSS' chief scientific research officer, cautions that AI tools won't improve operations or care delivery unless the technology fits into existing workflows; clinicians and staff must also be trained in their use.
General Catalyst's Dr. Stephen Klasko says he's launched a medical education program that integrates AI and data literacy and chooses students based on communication skills, empathy and cultural competence rather than test scores.
Hal Wolf, HIMSS president and CEO, says HIMSS helps leaders assess their AI readiness with the AMAM maturity model before deploying AI and offers neutral guidance on governance and implementing AI tools responsibly.
At Akron Children's Hospital, Dr. Peggy Allen says clinicians leverage technology such as smartphones, ambient listening AI and smart medication-dosing tools within EHRs to provide personalized care and build trust with patients.
The independent health system's new tech saves time on the scanning side while aiding physicians with better views of diagnostic images. The CIO discusses the benefits of this powerful system.
Mount Sinai Health System, Nvidia and ARC Innovation Center leaders describe how their collaboration aims to decode the human genome using AI in order to more precisely predict disease risk and understand individual therapy response.