Published on in Vol 21, No 1 (2019): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10793, first published .
Improving Electronic Health Record Note Comprehension With NoteAid: Randomized Trial of Electronic Health Record Note Comprehension Interventions With Crowdsourced Workers

Improving Electronic Health Record Note Comprehension With NoteAid: Randomized Trial of Electronic Health Record Note Comprehension Interventions With Crowdsourced Workers

Improving Electronic Health Record Note Comprehension With NoteAid: Randomized Trial of Electronic Health Record Note Comprehension Interventions With Crowdsourced Workers

John P Lalor 1, MS;  Beverly Woolf 1, PhD;  Hong Yu 1, 2, 3, 4, PhD, FACMI

1 College of Information and Computer Sciences, University of Massachusetts , Amherst, MA, US

2 Department of Computer Science, University of Massachusetts Lowell , Lowell, MA, US

3 Bedford Veterans Affairs Medical Center, Center for Healthcare Organization and Implementation Research , Bedford, MA, US

4 Department of Medicine, University of Massachusetts Medical School , Worcester, MA, US

Corresponding Author:

  • Hong Yu, PhD, FACMI
  • Department of Computer Science
  • University of Massachusetts Lowell
  • 1 University Avenue
  • Lowell, MA
  • US
  • Phone: 1 508 612 7292
  • Email: hong.yu@umassmed.edu