Advancing delirium detection through the Open Health Natural Language Processing Consortium and the Evolve to Next-Gen Accrual to Clinical Trials Network
Our work represents an important first step toward enabling scalable and standardized NLP-based delirium detection across institutions. By engaging diverse institutions through the ENACT NLP Working Group, we identified shared challenges and site-specific variations that impact model implementation and performance. Our collaborative approach enabled the development of a more robust framework for delirium identification across heterogeneous EHR systems. Future efforts will build on this foundation to enhance the validity, usability, and translational impact of delirium detection.
Authors
- Chao Yan (ORCID: https://orcid.org/0000-0002-6719-1388)
- Andrew Wen (ORCID: https://orcid.org/0000-0001-9090-8028)
- Mayur B. Patel (ORCID: https://orcid.org/0000-0001-5230-0871)
- Michele Morris (ORCID: https://orcid.org/0000-0002-3255-5727)
- Jin-Hyun Ahn (ORCID: https://orcid.org/0000-0002-1863-121X)
- Justin F. Rousseau (ORCID: https://orcid.org/0000-0002-2817-9124)
- Sunyang Fu (ORCID: https://orcid.org/0000-0003-1691-5179)
- Shreyas Ranganath
- Kelly Potter (ORCID: https://orcid.org/0000-0001-7737-2070)
- Richard Kennedy (ORCID: https://orcid.org/0000-0003-4638-126X)
- Allyson K. Palmer (ORCID: https://orcid.org/0000-0001-7505-3455)
- Joseph R. Applegate
- Min Ji Kwak (ORCID: https://orcid.org/0000-0003-2778-3984)
- Liwei Wang (ORCID: https://orcid.org/0009-0000-1573-1015)
- Sunghwan Sohn (ORCID: https://orcid.org/0000-0001-8256-2602)
- Jennifer L. St. Sauver (ORCID: https://orcid.org/0000-0002-9789-8544)
- Elmer V. Bernstam (ORCID: https://orcid.org/0000-0001-7643-791X)
- Sandeep R. Pagali (ORCID: https://orcid.org/0000-0002-0838-1026)
- Yanshan Wang (ORCID: https://orcid.org/0000-0003-4433-7839)
- Chenyu Li (ORCID: https://orcid.org/0000-0001-7434-6571)
- John D. Osborne (ORCID: https://orcid.org/0000-0002-0851-1150)
- Bradley Malin (ORCID: https://orcid.org/0000-0003-3040-5175)
- Phillip Reeder (ORCID: https://orcid.org/0000-0002-8633-7872)
- You Chen (ORCID: https://orcid.org/0000-0001-8232-8840)
- Hongfang Liu (ORCID: https://orcid.org/0000-0003-2570-3741)
- Zhiyi Yue (ORCID: https://orcid.org/0009-0002-3440-0902)
- Chan Mi Park (ORCID: https://orcid.org/0000-0001-6404-4174)
- Shyam Visweswaran
- Timothy D. Girard
- Thomas J. Murphy (ORCID: https://orcid.org/0000-0002-9040-592X)
- Nelly-Estefanie Garduno-Rapp
- Jia Heling
Institutions
- Mayo Clinic (US)
- University of Pittsburgh (US)
- Vanderbilt University (US)
- University of Alabama at Birmingham (US)
- Health Information Management (BE)
- Hebrew SeniorLife (US)
- Mayo Clinic in Arizona (US)
- Mayo Clinic in Florida (US)
- The University of Texas Health Science Center (US)
- The University of Texas Southwestern Medical Center (US)
- Vanderbilt University Medical Center (US)
- The University of Texas Health Science Center at Houston (US)
Publication Details
- Journal
- The Journals of Gerontology Series A
- Published
- 2025-09-26
- DOI
- https://doi.org/10.1093/gerona/glaf207
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- U.S. Department of Veterans Affairs
- Georgia Clinical and Translational Science Alliance
- National Institutes of Health
- National Institute on Aging
- U.S. National Library of Medicine
- National Center for Advancing Translational Sciences