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HomeMIT 6.S897 Machine Learning for Healthcare, Spring 2019Lecture 21: Automating Clinical Work Flows
MIT 6.S897 Machine Learning for Healthcare, Spring 2019

Lecture 21: Automating Clinical Work Flows

1:20:27

_This video begins with the 2020 version of the lecture delivered via Zoom, due to technical difficulties in the original lecture 21 video.
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Prof. Szolovits discusses ways of improving medical care and narrowing performance distribution through decision support from local data and change-point detection to monitor rule firings. The Clinical Pathways COWpath study is used as an example.

Speaker: Peter Szolovits

Lecture 21: Automating Clinical Workflows slides (PDF - 1.6MB)