Within-hospital Temporal Clustering of Postoperative Complications and Implications for Safety Monitoring and Benchmarking Using ACS-NSQIP Data

Temporal clusters of postoperative complications were rarely observed in ACS-NSQIP data. The described methodology may be useful in assessing clustering in other surgical arenas.

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Publication Details

Journal
Annals of Surgery Open
Published
2024-08-09
DOI
https://doi.org/10.1097/as9.0000000000000483
Primary Topic
Advanced Statistical Process Monitoring
Type
article
Field-Weighted Citation Impact
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article

Within-hospital Temporal Clustering of Postoperative Complications and Implications for Safety Monitoring and Benchmarking Using ACS-NSQIP Data

Yaoming Liu, Bruce L. Hall, Mark E. Cohen, Clifford Y. Ko
Annals of Surgery Open
Advanced Statistical Process Monitoring
article

Within-hospital Temporal Clustering of Postoperative Complications and Implications for Safety Monitoring and Benchmarking Using ACS-NSQIP Data

Yaoming Liu, Bruce L. Hall, Mark E. Cohen, Clifford Y. Ko
article en

Abstract

Temporal clusters of postoperative complications were rarely observed in ACS-NSQIP data. The described methodology may be useful in assessing clustering in other surgical arenas.

Annals of Surgery OpenVol. 5(3)
University of California, Los Angeles (US), VA Greater Los Angeles Healthcare System (US), American College of Surgeons (US)
Good health and well-being
Openalex Percentile: Top 87%
Advanced Statistical Process Monitoring
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