Automation in Surgical Adverse Event Documentation: Improving Completeness and Accuracy

Manual recording of surgical adverse events (AEs) is often incomplete and inconsistent. Automated systems linking structured notes to surgical secondary events (SSE) databases may improve accuracy and efficiency. We retrospectively compared surgeries from October 2021 to April 2022 (manual reporting) and January to July 2023 (automated reporting). In the automated cohort, AEs were captured via a structured note-linked SSE database. Outcomes included completeness-the proportion of AEs in notes also recorded in the SSE database-and accuracy, defined by concordance for procedure, complication type/grade, and management. Baseline demographics were similar between cohorts. Completeness improved from 20% to 94% ( P < 0.001). Minor AE capture increased from 7% to 96% ( P < 0.001), and major AE capture from 29% to 92% ( P < 0.001). Automated SSE reporting substantially improved the completeness and accuracy of surgical AE documentation, particularly for minor events, supporting more reliable surgical quality data collection.

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Publication Details

Journal
American Journal of Medical Quality
Published
2026-02-24
DOI
https://doi.org/10.1097/jmq.0000000000000292
Primary Topic
Digital Imaging in Medicine
Type
article
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article

Automation in Surgical Adverse Event Documentation: Improving Completeness and Accuracy

Carrie Scharf Stern, Francis D. Graziano, Ronnie Labib Shammas, Adana-Christine Campbell et al.
American Journal of Medical Quality
Digital Imaging in Medicine
article

Automation in Surgical Adverse Event Documentation: Improving Completeness and Accuracy

Carrie Scharf Stern, Francis D. Graziano, Ronnie Labib Shammas, Adana-Christine Campbell, Lillian A. Boe, Jonas A. Nelson, Babak J. Mehrara, Charles Z. Jiang, Arielle Roberts, Bracha L. Pollack
article en

Abstract

Manual recording of surgical adverse events (AEs) is often incomplete and inconsistent. Automated systems linking structured notes to surgical secondary events (SSE) databases may improve accuracy and efficiency. We retrospectively compared surgeries from October 2021 to April 2022 (manual reporting) and January to July 2023 (automated reporting). In the automated cohort, AEs were captured via a structured note-linked SSE database. Outcomes included completeness-the proportion of AEs in notes also recorded in the SSE database-and accuracy, defined by concordance for procedure, complication type/grade, and management. Baseline demographics were similar between cohorts. Completeness improved from 20% to 94% ( P < 0.001). Minor AE capture increased from 7% to 96% ( P < 0.001), and major AE capture from 29% to 92% ( P < 0.001). Automated SSE reporting substantially improved the completeness and accuracy of surgical AE documentation, particularly for minor events, supporting more reliable surgical quality data collection.

American Journal of Medical QualityVol. 41(2)
Memorial Sloan Kettering Cancer Center (US)
Openalex Percentile: Top 48%
Digital Imaging in Medicine
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