Tanner J. Caverly - researchr alias

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Viewing Publication 1 - 4 from 4

2023

Considerations for using predictive models that include race as an input variable: The case study of lung cancer screeningElizabeth R. Stevens, Tanner J. Caverly, Jorie M. Butler, Polina V. Kukhareva, Safiya Richardson, Devin M. Mann, Kensaku Kawamoto. jbi, 147:104525, November 2023. [doi]

2022

Re: Inaccuracies in electronic health records smoking data and a potential approach to address resulting underestimation in determining lung cancer screening eligibilityPolina V. Kukhareva, Tanner J. Caverly, Kensaku Kawamoto. jamia, 29(9):1655, 2022. [doi]

Inaccuracies in electronic health records smoking data and a potential approach to address resulting underestimation in determining lung cancer screening eligibilityPolina V. Kukhareva, Tanner J. Caverly, Haojia Li, Hormuzd A. Katki, Li C. Cheung, Thomas J. Reese, Guilherme Del Fiol, Rachel Hess, David W. Wetter, Yue Zhang, Teresa Taft, Michael C. Flynn, Kensaku Kawamoto. jamia, 29(5):779-788, 2022. [doi]

Lung Cancer Screening Implementation in Primary Care Using an Electronic Health Record-integrated Shared Decision Making Tool and Clinician-facing PromptsPolina V. Kukhareva, Douglas Martin, Isaac Warner, Salvador Rodriguez-Loya, Haojia Li, Yue Zhang, Tanner J. Caverly, Guilherme Del Fiol, Kensaku Kawamoto. amia 2022: [doi]

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