Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67591, first published .
Biases in Race and Ethnicity Introduced by Filtering Electronic Health Records for “Complete Data”: Observational Clinical Data Analysis

Biases in Race and Ethnicity Introduced by Filtering Electronic Health Records for “Complete Data”: Observational Clinical Data Analysis

Biases in Race and Ethnicity Introduced by Filtering Electronic Health Records for “Complete Data”: Observational Clinical Data Analysis

Jose Miguel Acitores Cortina   1, 2 * , MSc ;   Yasaman Fatapour   1, 2 * , PhD ;   Kathleen LaRow Brown   3, 4 , MA ;   Undina Gisladottir   3, 4 , PhD ;   Michael Zietz   1 , PhD ;   Oliver John Bear Don't Walk IV   5 , PhD ;   Danner Peter   5 , MPH ;   Jacob S Berkowitz   1, 2 , BSc ;   Nadine A Friedrich   1, 2 , MD ;   Sophia Kivelson   1, 2 , MSc ;   Aditi Kuchi   1, 2 , MSc ;   Hongyu Liu   1, 2 , PhD, MD ;   Apoorva Srinivasan   1, 2 , MSc ;   Kevin K Tsang   1, 2 , MSc ;   Nicholas P Tatonetti   1, 2, 3, 4 , PhD

1 Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States

2 Cedars-Sinai Cancer, Cedars-Sinai Medical Center, Los Angeles, CA, United States

3 Department of Systems Biology, Columbia University, New York, NY, United States

4 Department of Biomedical Informatics, Columbia University, New York, NY, United States

5 Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States

*these authors contributed equally

Corresponding Author:

  • Nicholas P Tatonetti, PhD
  • Department of Computational Biomedicine
  • Cedars-Sinai Medical Center
  • 700 North San Vicente Boulevard, Pacific Design Center Suite G540
  • Los Angeles, CA 90069
  • United States
  • Phone: 1 424 315 1031
  • Email: nicholas.tatonetti@cshs.org