The best of both worlds: How combining a large language model and a rule-based algorithm makes catheter-associated urinary tract infection surveillance more efficient

Authors

• Joshua Nordman, Washington University School of Medicine in St. Louis
• Claire Najjuuko, Washington University in St. Louis
• Nicholas Jeschke, Washington University School of Medicine in St. Louis
• Rachael E Snyders, Washington University School of Medicine in St. Louis
• Maria Cristina Vazquez Guillamet, Washington University School of Medicine in St. Louis
• Hilary Babcock, Washington University School of Medicine in St. Louis
• Patrick Reich, Washington University School of Medicine in St. Louis
• Andrew Atkinson, Washington University School of Medicine in St. Louis
• Jonas Marschall, Washington University School of Medicine in St. Louis
• Abby Sung, Washington University School of Medicine in St. Louis
• et al.

Journal

Clinical infectious diseases

Publication Date

7-23-2026

Volume

83

Issue

1

First Page

e120

Last Page

e126

Document Type

Open Access Publication

DOI

10.1093/cid/ciag301

Rights and Permissions

Joshua Nordman, Claire Najjuuko, Nicholas Jeschke, Rachael E Snyders, Maria Cristina Vazquez Guillamet, Jordan Shapiro, Carole Leone, Megan Dethloff, Hilary Babcock, Patrick Reich, Kenneth Whalen, Lucy Zhang, Lan Luong, Chenyang Lu, Andrew Atkinson, Jonas Marschall, Abby Sung, The Best of Both Worlds: How Combining a Large Language Model and a Rule-Based Algorithm Makes Catheter-Associated Urinary Tract Infection Surveillance More Efficient, Clinical Infectious Diseases, Volume 83, Issue 1, 15 July 2026, Pages e120–e126, https://doi.org/10.1093/cid/ciag301. https://academic.oup.com/cid/article/83/1/e120/8678022?login=true. © The Author(s) 2026. Published by Oxford University Press on behalf of Infectious Diseases Society of America. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

Recommended Citation

Nordman, Joshua; Najjuuko, Claire; Jeschke, Nicholas; Snyders, Rachael E; Vazquez Guillamet, Maria Cristina; Babcock, Hilary; Reich, Patrick; Atkinson, Andrew; Marschall, Jonas; Sung, Abby; and et al., "The best of both worlds: How combining a large language model and a rule-based algorithm makes catheter-associated urinary tract infection surveillance more efficient." Clinical infectious diseases. 83, 1. e120 - e126. (2026).
https://digitalcommons.wustl.edu/oa_4/7410

Department

ICTS (Institute of Clinical and Translational Sciences)

Additional Links

Supplemental material is available for this article at publisher site.