Published on in Vol 10, No 9 (2022): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42533, first published .
Correction: Identifying Patients Who Meet Criteria for Genetic Testing of Hereditary Cancers Based on Structured and Unstructured Family Health History Data in the Electronic Health Record: Natural Language Processing Approach

Correction: Identifying Patients Who Meet Criteria for Genetic Testing of Hereditary Cancers Based on Structured and Unstructured Family Health History Data in the Electronic Health Record: Natural Language Processing Approach

Correction: Identifying Patients Who Meet Criteria for Genetic Testing of Hereditary Cancers Based on Structured and Unstructured Family Health History Data in the Electronic Health Record: Natural Language Processing Approach

Jianlin Shi   1, 2, 3 , MS, MD, PhD ;   Keaton L Morgan   3, 4 , MS, MD ;   Richard L Bradshaw   3 , MS, PhD ;   Se-Hee Jung   3, 5 , BSN ;   Wendy Kohlmann   6, 7 , MS ;   Kimberly A Kaphingst   7, 8 , SCD ;   Kensaku Kawamoto   3 , MPH, MD, PhD ;   Guilherme Del Fiol   3 , MD, PhD

1 Veterans Affairs Informatics and Computing Infrastructure, Department of Veterans Affairs Salt Lake City Health Care System, Salt Lake City, UT, United States

2 Division of Epidemiology, Department of Internal Medicine, School of Medicine, University of Utah, Salt Lake City, UT, United States

3 Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States

4 Department of Emergency Medicine, University of Utah, Salt Lake City, UT, United States

5 College of Nursing, University of Utah, Salt Lake City, UT, United States

6 Department of Population Health Sciences, University of Utah, Salt Lake City, UT, United States

7 Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States

8 Department of Communication, University of Utah, Salt Lake City, UT, United States

Corresponding Author:

  • Guilherme Del Fiol, MD, PhD
  • Department of Biomedical Informatics
  • University of Utah
  • 421 Wakara Way
  • Ste 140
  • Salt Lake City, UT, 84108-3514
  • United States
  • Phone: 1 801 581 4080
  • Fax: 1 801 581 4297
  • Email: guilherme.delfiol@utah.edu