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

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

7:51

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.

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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
4:51

HIMSS members express caution about AI deployment

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.

HIMSS members express caution about AI deployment
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.
4:51
7:37

Health systems have a hidden AI problem

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.

Health systems have a hidden AI problem
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.
7:37