clinical AI
Karie Ryan, chief nursing officer at Artisight, describes how the company's computer vision technology aims to improve patient safety and staff efficiency among providers, nurses and other care team members in the hospital setting.
AI is one of HIMSS' core focus areas, and HIMSS' Lisa Counsell says that local meetings and the upcoming AI in Healthcare Forum can help organizations better understand AI's uses and policy considerations.
Brittany Cyriacks, UCHealth clinical informatics program director, talks about how veteran virtual ICU nurses act as "angels in the sky," stepping in to help less experienced nurses spot sepsis and patient deterioration.
Sophia Brown, RN, Strategic Informatics Solutions' founder and CEO, recommends that health systems allow clinicians to test new AI tools before implementation to ensure they work well and are useful.
Dr. Matt Sakumoto, Nabla's chief clinical product officer, says he wants the next wave of AI tools to empower every member of a clinical team to collect patients' stories and follow them along their care journey.
Despite progress in using advanced analytics, Jill Seys, senior director for North America analytics at HIMSS, says that many healthcare organizations are still challenged with tailoring communications for patients.
AI can streamline workflows across health systems, but Greg O'Neill, ChristianaCare's director of patient education, says the technology misses its purpose if the information it provides to patients and families isn't useful.
According to HIMSS' Tom Leary and Luis Belen, CEO of NHIT, NHIT INSPIRED connects college students with HIMSS mentors and industry partners. The program has shown early success in helping students find industry jobs.
Our HIMSS26 interviewees say that early strategizing using the conference app to decide which sessions to attend from a packed agenda and which booths to visit in the busy expo hall can help make the most of attendance.
AI-powered search simplifies querying for clinicians, but Microsoft's Kenneth Harper warns that health systems must define trusted sources and guide AI tools accordingly to ensure that searches yield accurate, relevant insights.