Published on in Vol 8, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18559, first published .
Identifying Ectopic Pregnancy in a Large Integrated Health Care Delivery System: Algorithm Validation

Identifying Ectopic Pregnancy in a Large Integrated Health Care Delivery System: Algorithm Validation

Identifying Ectopic Pregnancy in a Large Integrated Health Care Delivery System: Algorithm Validation

Darios Getahun   1, 2 , MD, MPH, PhD ;   Jiaxiao M Shi   1 , PhD ;   Malini Chandra   3 , MS, MBA ;   Michael J Fassett   4 , MD ;   Stacey Alexeeff   3 , PhD ;   Theresa M Im   1 , MPH ;   Vicki Y Chiu   1 , MS ;   Mary Anne Armstrong   3 , MA ;   Fagen Xie   1 , PhD ;   Julie Stern   1 , MPH ;   Harpreet S Takhar   1 , MPH ;   Alex Asiimwe   5 , PhD ;   Tina Raine-Bennett   2, 3 , MD, MPH

1 Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States

2 Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, United States

3 Division of Research, Kaiser Permanente Northern California, Oakland, CA, United States

4 Department of Obstetrics and Gynecology, Kaiser Permanente West Los Angeles Medical Center, Los Angeles, CA, United States

5 Bayer AG, Berlin, Germany

Corresponding Author:

  • Darios Getahun, MD, MPH, PhD
  • Department of Research & Evaluation
  • Kaiser Permanente Southern California
  • 100 S. Los Robles
  • Pasadena, CA, 91101
  • United States
  • Phone: 1 626-564-5658
  • Email: Darios.T.Getahun@kp.org