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

Journals

  1. Zhou L, Parmanto B. Development and Validation of a Comprehensive Well-Being Scale for People in the University Environment (Pitt Wellness Scale) Using a Crowdsourcing Approach: Cross-Sectional Study. Journal of Medical Internet Research 2020;22(4):e15075 View
  2. van Mens H, van Eysden M, Nienhuis R, van Delden J, de Keizer N, Cornet R. Evaluation of lexical clarification by patients reading their clinical notes: a quasi-experimental interview study. BMC Medical Informatics and Decision Making 2020;20(S10) View
  3. Lalor J, Hu W, Tran M, Wu H, Mazor K, Yu H. Evaluating the Effectiveness of NoteAid in a Community Hospital Setting: Randomized Trial of Electronic Health Record Note Comprehension Interventions With Patients. Journal of Medical Internet Research 2021;23(5):e26354 View
  4. Valeur H, Lie A, Moen K. Patient Rationales Against the Use of Patient-Accessible Electronic Health Records: Qualitative Study. Journal of Medical Internet Research 2021;23(5):e24090 View
  5. Fisher K, Kennedy K, Bloomstone S, Fukunaga M, Bell S, Mazor K. Can sharing clinic notes improve communication and promote self-management? A qualitative study of patients with COPD. Patient Education and Counseling 2021 View