A Novel Automated Algorithm to Identify Lung Cancer Screening from Free Text of Radiology Orders.

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Bibliographic Details
Title: A Novel Automated Algorithm to Identify Lung Cancer Screening from Free Text of Radiology Orders.
Authors: Rustagi AS; Center for Data to Discovery and Delivery Innovation (3DI), San Francisco VA Health Care System, San Francisco, CA, USA. Alison.rustagi@va.gov.; Division of General Internal Medicine, University of California, San Francisco, San Francisco, CA, USA. Alison.rustagi@va.gov., Vali M; Center for Data to Discovery and Delivery Innovation (3DI), San Francisco VA Health Care System, San Francisco, CA, USA.; Northern California Institute for Research and Education, San Francisco, CA, USA., Graham FJ; Northern California Institute for Research and Education, San Francisco, CA, USA., Lum EN; Center for Data to Discovery and Delivery Innovation (3DI), San Francisco VA Health Care System, San Francisco, CA, USA.; Northern California Institute for Research and Education, San Francisco, CA, USA., Slatore CG; Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, OR, USA.; National Center for Lung Cancer Screening, Veterans Health Administration, Washington, DC, USA.; Division of Pulmonary, Critical Care, and Allergy Medicine, Oregon Health & Science University, Portland, OR, USA., Keyhani S; Center for Data to Discovery and Delivery Innovation (3DI), San Francisco VA Health Care System, San Francisco, CA, USA.; Division of General Internal Medicine, University of California, San Francisco, San Francisco, CA, USA.
Source: Journal of general internal medicine [J Gen Intern Med] 2025 May; Vol. 40 (6), pp. 1306-1314. Date of Electronic Publication: 2025 Feb 25.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 8605834 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1525-1497 (Electronic) Linking ISSN: 08848734 NLM ISO Abbreviation: J Gen Intern Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1525-1497
DOI:10.1007/s11606-025-09429-2