Development of an Adverse Event Surveillance Model for Outpatient Surgery in the Veterans Health Administration

OBJECTIVE: Develop and validate a surveillance model to identify outpatient surgical adverse events (AEs) based on previously developed electronic triggers. DATA SOURCES: Veterans Health Administration's Corporate Data Warehouse. STUDY DESIGN: Six surgical AE triggers, including postoperative e...

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Bibliografische gegevens
Gepubliceerd in:Health Serv Res
Hoofdauteurs: Mull, Hillary J., Itani, Kamal M. F., Pizer, Steven D., Charns, Martin P., Rivard, Peter E., McIntosh, Nathalie, Hawn, Mary T., Rosen, Amy K.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: John Wiley and Sons Inc. 2018
Onderwerpen:
Health Care Quality and Outcomes
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6232409/
https://ncbi.nlm.nih.gov/pubmed/30151826
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/1475-6773.13037
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