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Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/91151, first published .
Transformer-based language model for EHRs, identifying misspelled medication names.

Detecting Misspelled Drug Names Using Transformer-Based Language Models: Model Development and External Validation

Detecting Misspelled Drug Names Using Transformer-Based Language Models: Model Development and External Validation

Jiayu Lu   1 , MS ;   Kevin W McConeghy   2, 3 , PharmD, PhD ;   Andrew R Zullo   2, 3, 4 , PharmD, PhD ;   Jinying Chen   1, 5 , PhD

1 Department of Medicine/Section of Preventive Medicine and Epidemiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States

2 Department of Health Services, Policy and Practice, Brown University School of Public Health, Providence, RI, United States

3 Transformative Health Systems Research to Improve Veteran Equity and Independence Center of Innovation (THRIVE COIN), Veterans Affairs Providence Health Care System, Providence, RI, United States

4 Department of Epidemiology, Brown University School of Public Health, Providence, RI, United States

5 Data Science Core, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States

Corresponding Author:

  • Jinying Chen, PhD
  • Department of Medicine/Section of Preventive Medicine and Epidemiology
  • Boston University Chobanian & Avedisian School of Medicine
  • 72 E Concord St
  • Boston, MA 02118
  • United States
  • Phone: 1 617-358-5838
  • Email: jinychen@bu.edu