Toward Opioid-Free Ambulatory Surgery: A Prospective Study Using Machine Learning to Predict Postoperative Opioid Use

The ML model reliably identified high-risk individuals, supporting the potential for personalized opioid-sparing strategies in outpatient surgery. This model may help identify patients likely to require opioids, enabling tailored pain management planning.

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Publication Details

Journal
Journal of the American College of Surgeons
Published
2026-01-27
DOI
https://doi.org/10.1097/xcs.0000000000001803
Primary Topic
Opioid Use Disorder Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Toward Opioid-Free Ambulatory Surgery: A Prospective Study Using Machine Learning to Predict Postoperative Opioid Use

Peter Edwards, Savannah Renshaw, Benjamin K Poulose, Divyaam Satija et al.
Journal of the American College of Surgeons
Opioid Use Disorder Treatment
article

Toward Opioid-Free Ambulatory Surgery: A Prospective Study Using Machine Learning to Predict Postoperative Opioid Use

Peter Edwards, Savannah Renshaw, Benjamin K Poulose, Divyaam Satija, Kiana Shannon, Victor Heh, Abdullah Aly, Michael Guertin
article en

Abstract

The ML model reliably identified high-risk individuals, supporting the potential for personalized opioid-sparing strategies in outpatient surgery. This model may help identify patients likely to require opioids, enabling tailored pain management planning.

Journal of the American College of SurgeonsVol. 242(4)
Riverside Methodist Hospital (US), The Ohio State University Wexner Medical Center (US)
Openalex Percentile: Top 78%
Opioid Use Disorder Treatment
DOISourceOpenAlex
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