Published on in Vol 23, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34493, first published .
Sensor Data Integration: A New Cross-Industry Collaboration to Articulate Value, Define Needs, and Advance a Framework for Best Practices

Sensor Data Integration: A New Cross-Industry Collaboration to Articulate Value, Define Needs, and Advance a Framework for Best Practices

Sensor Data Integration: A New Cross-Industry Collaboration to Articulate Value, Define Needs, and Advance a Framework for Best Practices

Ieuan Clay   1 , PhD ;   Christian Angelopoulos   2 , BSc ;   Anne Lord Bailey   3 , PharmD, BCPS ;   Aaron Blocker   4 , MSc ;   Simona Carini   5 , MA ;   Rodrigo Carvajal   6 , BSc ;   David Drummond   7 , PhD ;   Kimberly F McManus   3 , MSc, PhD ;   Ingrid Oakley-Girvan   8 , MPH, PhD ;   Krupal B Patel   6 , MD, MSc ;   Phillip Szepietowski   6 , PhD ;   Jennifer C Goldsack   1 , MChem, MA, MBA

1 Digital Medicine Society (DiMe), Boston, MA, United States

2 HumanFirst, San Fransisco, CA, United States

3 Department of Veterans Affairs, Washington, DC, United States

4 Savvy Cooperative, Queens, NY, United States

5 University of California San Francisco, San Francisco, CA, United States

6 H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States

7 Evidation Health, San Mateo, CA, United States

8 Medable, San Fransisco, CA, United States

Corresponding Author: