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CEO Dr Mohamed Ezani says organisations must first invest in preparing their people for AI, with leadership training critical to successful implementation.
Dr. Chi Kyung Kim, CMIO at Korea University Guro Hospital, explains how real-time patient feedback helps translate strong digital foundations into empowering clinical AI applications.
Zaw Thet, cofounder and CEO of Exer AI, explains how the company uses computer vision and everyday device cameras, such as an iPad camera, to analyze human movement and provide clinicians with objective data to assess patients’ mobility.
Dr. Daniel Ting, director of the SingHealth AI Office, shares how moving beyond siloed diagnostic tools to ambient AI allows clinicians to focus on history-taking and patient rapport over computer screens.
HIMSS President and CEO Hal Wolf explains why a new AI Outcomes Framework is needed to evaluate the real-world impact of AI deployments.
New artificial intelligence models have unpredictable consumption-based costs, says Rhett Alden, Elsevier's CTO of health markets. But "all you can eat models" and inclusive pricing can avoid the need for clinicians to meter tool use.
The underlying challenge is how to fund an industry that's very important but is also perpetually on the brink of bankruptcy, says Kunal Sarda, CEO of Arya Health.
Dr. Deepti Pandita, CMIO and VP of clinical Informatics at UCI Health, says healthcare organizations may not always know where every AI tool exists, making system-wide AI awareness and governance essential.
Amy Chacko, IT portfolio manager at Hackensack Meridian Health, says the HIMSS chapter members she's spoken with are implementing AI slowly and carefully due to concerns about patient safety and achieving strategic goals.
Nicole Ramage, HIMSS' senior global market insights manager, says her department's focus is expanding to help healthcare leaders better understand AI adoption, market trends and regional differences across North America, EMEA and APAC.
Baxter Lee, president of Clearwater, says building organizational resilience in an AI-driven threat landscape is a must despite critical national coordination efforts to patch healthcare vulnerabilities swiftly.
Pothik Chatterjee says Houston Methodist & Rice University's Digital Health Institute combines AI algorithms with data from disparate sources including clinical images to uncover patterns that can inform patient care.