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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

5:15

The ongoing ROI of HIMSS membership

Lisa Counsell, HIMSS sales and relationship management VP, says that HIMSS membership brings value at every career level, enabling networking for newcomers and offering continuous learning and community for seasoned executives.

The ongoing ROI of HIMSS membership
Lisa Counsell, HIMSS sales and relationship management VP, says that HIMSS membership brings value at every career level, enabling networking for newcomers and offering continuous learning and community for seasoned executives.
5:15
7:15

Attending HIMSS events enriches communities' collaboration

Attending Global Conference yearly enables in-person meetings and conversations that deepen the commitment the 75% of HIMSS members involved in its 22 communities have to their shared work, according to HIMSS' Tammy Kwiatkoski.

Attending HIMSS events enriches communities' collaboration
Attending Global Conference yearly enables in-person meetings and conversations that deepen the commitment the 75% of HIMSS members involved in its 22 communities have to their shared work, according to HIMSS' Tammy Kwiatkoski.
7:15
4:35

HIMSS moves beyond benchmarking to digital maturity advisory

Jill Seys, senior director for North America analytics at HIMSS, says that, in addition to offering EMRAM and other models, HIMSS can support healthcare organizations in achieving digital maturity.

HIMSS moves beyond benchmarking to digital maturity advisory
Jill Seys, senior director for North America analytics at HIMSS, says that, in addition to offering EMRAM and other models, HIMSS can support healthcare organizations in achieving digital maturity.
4:35