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Clinical and technology leaders learning together as AI evolves
AI/ML

Clinical and technology leaders learning together as AI evolves

1:13

At the HIMSS25 AI in Healthcare Forum, everyone had something new to understand about a big, complex, fast-moving and transformative topic.

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7:51

Shifting from top-down deployments to patient-led AI feedback loops

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.

Shifting from top-down deployments to patient-led AI feedback loops
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.
7:51
3:22

Health systems need continuity on AI costs

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.

Health systems need continuity on AI costs
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.
3:22
7:53

Using ambient AI to return rapport to patient care

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.

Using ambient AI to return rapport to patient care
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.
7:53