Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65221, first published .
Real-World Insights Into Dementia Diagnosis Trajectory and Clinical Practice Patterns Unveiled by Natural Language Processing: Development and Usability Study

Real-World Insights Into Dementia Diagnosis Trajectory and Clinical Practice Patterns Unveiled by Natural Language Processing: Development and Usability Study

Real-World Insights Into Dementia Diagnosis Trajectory and Clinical Practice Patterns Unveiled by Natural Language Processing: Development and Usability Study

Hunki Paek   1 * , PhD ;   Richard H Fortinsky   2 * , PhD ;   Kyeryoung Lee   1 , PhD ;   Liang-Chin Huang   1 , PhD ;   Yazeed S Maghaydah   2 , MD ;   George A Kuchel   2 , MD ;   Xiaoyan Wang   3, 4 , PhD

1 IMO Health, Rosemont, IL, United States

2 UConn Center on Aging, University of Connecticut School of Medicine, Farmington, CT, United States

3 Center for Quantitative Medicine, University of Connecticut School of Medicine, Farmington, CT, United States

4 Department of Health Policy and Management, Tulane University, New Orleans, LA, United States

*these authors contributed equally

Corresponding Author:

  • Xiaoyan Wang, PhD
  • Center for Quantitative Medicine
  • University of Connecticut School of Medicine
  • 195 Farmington Ave
  • Farmington, CT 06032
  • United States
  • Phone: 1 201-282-8098
  • Email: xw108@caa.columbia.edu