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Automating ML and AI to improve speed, accuracy of predictive models
Women in Healthcare IT

Automating ML and AI to improve speed, accuracy of predictive models

3:58

(Sponsored) DataRobot describes how advances in auto-machine learning and predictive analytics are enabling healthcare enterprises to be AI-driven.

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Women in Healthcare IT - Similar Videos View more in Women in Healthcare IT

5:20

AI must enhance safety and humanise healthcare delivery, not just speed it up

Valuable AI should not force a choice between efficiency and patient-centred care, says Shu-Ching Tsui, deputy superintendent for admin at Shuang Ho Hospital in Taiwan.

AI must enhance safety and humanise healthcare delivery, not just speed it up
Valuable AI should not force a choice between efficiency and patient-centred care, says Shu-Ching Tsui, deputy superintendent for admin at Shuang Ho Hospital in Taiwan.
5:20
10:35

The environmental cost of healthcare

Emily Bancroft, CEO of Health Care Without Harm, discusses how hospitals can measure their environmental impact and rethink procurement, energy use, waste management and other operations to reduce emissions while lowering costs.

The environmental cost of healthcare
Emily Bancroft, CEO of Health Care Without Harm, discusses how hospitals can measure their environmental impact and rethink procurement, energy use, waste management and other operations to reduce emissions while lowering costs.
10:35
5:47

Tech meets nurses' needs and improves retention

Nurse retention hinges on career stage rather than age across five generations in today's workforce, explains symplr CNIO Ali Morin. With self-scheduling tech, providers can deliver shift predictability and support continuing education goals.

Tech meets nurses' needs and improves retention
Nurse retention hinges on career stage rather than age across five generations in today's workforce, explains symplr CNIO Ali Morin. With self-scheduling tech, providers can deliver shift predictability and support continuing education goals.
5:47