Developing EMR-based algorithms to Identify hospital adverse events for health system performance evaluation and improvement: Study protocol

Developing EMR-based algorithms to Identify hospital adverse events for health system performance evaluation and improvement: Study protocol

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<h4>Background</h4> Measurement of care quality and safety mainly relies on abstracted administrative data. However, it is well studied that administrative data-based adverse event (AE) detection methods are suboptimal due to lack of clinical information. Electronic medical records (EMR)...

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Bibliographic Details
Main Authors: Guosong Wu, Cathy Eastwood, Yong Zeng, Hude Quan, Quan Long, Zilong Zhang, William A. Ghali, Jeffrey Bakal, Bastien Boussat, Ward Flemons, Alan Forster, Danielle A. Southern, Søren Knudsen, Brittany Popowich, Yuan Xu
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534418/?tool=EBI

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534418/?tool=EBI

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