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

BACKGROUND: 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) have been widely im...

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Detalles Bibliográficos
Autores principales: Wu, Guosong, Eastwood, Cathy, Zeng, Yong, Quan, Hude, Long, Quan, Zhang, Zilong, Ghali, William A., Bakal, Jeffrey, Boussat, Bastien, Flemons, Ward, Forster, Alan, Southern, Danielle A., Knudsen, Søren, Popowich, Brittany, Xu, Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Study Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534418/
https://www.ncbi.nlm.nih.gov/pubmed/36197944
http://dx.doi.org/10.1371/journal.pone.0275250

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534418/
https://www.ncbi.nlm.nih.gov/pubmed/36197944
http://dx.doi.org/10.1371/journal.pone.0275250

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