Published on in Vol 21, No 11 (2019): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14849, first published .
The Service of Research Analytics to Optimize Digital Health Evidence Generation: Multilevel Case Study

The Service of Research Analytics to Optimize Digital Health Evidence Generation: Multilevel Case Study

The Service of Research Analytics to Optimize Digital Health Evidence Generation: Multilevel Case Study

Quynh Pham 1, 2, PhD;  James Shaw 1, 3, PhD;  Plinio P Morita 1, 4, PEng, PhD;  Emily Seto 1, 2, PEng, PhD;  Jennifer N Stinson 1, 5, 6, 7, CPNP, RN, PhD;  Joseph A Cafazzo 1, 2, 8, PEng, PhD

1 Institute of Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, CA

2 Centre for Global eHealth Innovation, Techna Institute, University Health Network, Toronto, ON, CA

3 Women's College Hospital, Institute for Health System Solutions and Virtual Care , Toronto, ON, CA

4 School of Public Health and Health Systems, Faculty of Applied Health Sciences, University of Waterloo, Waterloo, ON, CA

5 Lawrence S Bloomberg Faculty of Nursing, University of Toronto , Toronto, ON, CA

6 Child Health Evaluative Sciences Research Institute, The Hospital for Sick Children , Toronto, ON, CA

7 Department of Anesthesia and Pain Medicine, The Hospital for Sick Children , Toronto, ON, CA

8 Institute of Biomaterials and Biomedical Engineering, Faculty of Applied Science and Engineering, University of Toronto, Toronto, ON, CA

Corresponding Author:

  • Quynh Pham, PhD
  • Institute of Health Policy, Management, and Evaluation
  • Dalla Lana School of Public Health
  • University of Toronto
  • Health Sciences Building, Suite 425
  • 155 College Street
  • Toronto, ON
  • CA
  • Phone: 1 416 340 4800 ext 4765
  • Email: q.pham@mail.utoronto.ca