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The ultimate goal of AI in health systems
AI/ML

The ultimate goal of AI in health systems

5:03

According to Eric Wong, group chief digital health officer at NHG Health, the human factor is often neglected in the AI journey.

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12:37

As clinical AI proliferates, evaluating quality and efficacy is essential

Healthcare organizations need a risk-based and patient-centered approach for benchmarking, says Ellipsis Health cofounder and Chief Medical Officer Dr. Michael Aratow, whose company has met with HHS and other agencies on AI safety standards.

As clinical AI proliferates, evaluating quality and efficacy is essential
Healthcare organizations need a risk-based and patient-centered approach for benchmarking, says Ellipsis Health cofounder and Chief Medical Officer Dr. Michael Aratow, whose company has met with HHS and other agencies on AI safety standards.
12:37
6:51

Advice for improving unusual access detection

Cloud and artificial intelligence systems complicate tracking where sensitive data lives and moves. Adam Burns of Fortra advises providers to analyze access behaviors across all systems, services and devices in the context of staff roles.

Advice for improving unusual access detection
Cloud and artificial intelligence systems complicate tracking where sensitive data lives and moves. Adam Burns of Fortra advises providers to analyze access behaviors across all systems, services and devices in the context of staff roles.
6:51
2:55

Which metric matters most for AI investment

Dr. Amy Sitapati, executive director of the Institute for Applied Health Intelligence at UC San Diego Health, says the HIMSS AI in Healthcare Forum in San Diego will explore all angles of using artificial intelligence to advance health.

Which metric matters most for AI investment
Dr. Amy Sitapati, executive director of the Institute for Applied Health Intelligence at UC San Diego Health, says the HIMSS AI in Healthcare Forum in San Diego will explore all angles of using artificial intelligence to advance health.
2:55