Published on in Vol 8, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16862, first published .
Using Natural Language Processing and Sentiment Analysis to Augment Traditional User-Centered Design: Development and Usability Study

Using Natural Language Processing and Sentiment Analysis to Augment Traditional User-Centered Design: Development and Usability Study

Using Natural Language Processing and Sentiment Analysis to Augment Traditional User-Centered Design: Development and Usability Study

Curtis Lee Petersen   1, 2 , MSc, MPH ;   Ryan Halter   3 , PhD ;   David Kotz   4 , PhD ;   Lorie Loeb   4 , MFA ;   Summer Cook   5 , PhD ;   Dawna Pidgeon   6 , PT ;   Brock C Christensen   2, 7, 8 , PhD ;   John A Batsis   9, 10, 11 , MD

1 The Dartmouth Institute for Health Policy, Dartmouth, Hanover, NH, United States

2 Quantitative Biomedical Sciences Program, Dartmouth, Hanover, NH, United States

3 Thayer School of Engineering, Dartmouth, Hanover, NH, United States

4 Computer Science, Dartmouth, Hanover, NH, United States

5 Department of Kinesiology, University of New Hampshire, Durham, NH, United States

6 Department of Physical Medicine and Rehabilitation, Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States

7 Department of Epidemiology, Dartmouth, Hanover, NH, United States

8 Department of Molecular and Systems Biology at Dartmouth, Dartmouth, Hanover, NH, United States

9 The Dartmouth Institute for Health Policy, Dartmouth, Lebanon, NH, United States

10 Department of Medicine, Geisel School of Medicine, Dartmouth, Hanover, NH, United States

11 Section of General Internal Medicine, Dartmouth-Hitchcock, Lebanon, NH, United States

Corresponding Author:

  • John A Batsis, MD
  • The Dartmouth Institute for Health Policy
  • Dartmouth
  • 1 Medical Drive
  • Williamson Translational Research Building, Level 5
  • Lebanon, NH, 03756
  • United States
  • Phone: 1 603 653 9500
  • Email: john.batsis@gmail.com