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, Canada

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

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

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

5 Department of Anesthesia and Pain Medicine, The Hospital for Sick Children, Toronto, ON, Canada

6 Lawrence S Bloomberg Faculty of Nursing, University of Toronto, Toronto, ON, Canada

7 Child Health Evaluative Sciences Research Institute, The Hospital for Sick Children, Toronto, ON, Canada

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

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, M5T 3M6
  • Canada
  • Phone: 1 416 340 4800 ext 4765
  • Email: q.pham@mail.utoronto.ca