This paper is in the following e-collection/theme issue:

Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (567) eHealth Literacy / Digital Literacy (379) Electronic Health Records (1036) Participatory Medicine & E-Patients (766) Linguistics, Comprehension, and Learning (52)

Published on in Vol 23, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26354, first published .
Evaluating the Effectiveness of NoteAid in a Community Hospital Setting: Randomized Trial of Electronic Health Record Note Comprehension Interventions With Patients

Evaluating the Effectiveness of NoteAid in a Community Hospital Setting: Randomized Trial of Electronic Health Record Note Comprehension Interventions With Patients

Evaluating the Effectiveness of NoteAid in a Community Hospital Setting: Randomized Trial of Electronic Health Record Note Comprehension Interventions With Patients

Authors of this article:

John P Lalor1 Author Orcid Image ;   Wen Hu2 Author Orcid Image ;   Matthew Tran2 Author Orcid Image ;   Hao Wu3 Author Orcid Image ;   Kathleen M Mazor4, 5 Author Orcid Image ;   Hong Yu2, 5, 6, 7 Author Orcid Image
Article Authors Cited by (4) Tweetations (11) Metrics

Journals

  1. Lalor J, Wu H, Mazor K, Yu H. Evaluating the efficacy of NoteAid on EHR note comprehension among US Veterans through Amazon Mechanical Turk. International Journal of Medical Informatics 2023;172:105006 View
  2. Dong Z, Leveille S, Lewis D, Walker J. People with diabetes who read their clinicians’ visit notes: Behaviors and attitudes. Chronic Illness 2024;20(1):173 View
  3. van Mens H, Hannen G, Nienhuis R, Bolt R, de Keizer N, Cornet R. Evaluation of Patient-Friendly Diagnosis Clarifications in a Hospital Patient Portal. Applied Clinical Informatics 2023;14(03):455 View
  4. Lalor J, Levy D, Jordan H, Hu W, Smirnova J, Yu H. Evaluating Expert-Layperson Agreement in Identifying Jargon Terms in Electronic Health Record Notes: Observational Study. Journal of Medical Internet Research 2024;26:e49704 View