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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
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 |
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