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Published on in Vol 11 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72676, first published .
A Quantitative Framework for Evaluating the Performance of Algorithm-Directed Whole-Population Remote Patient Monitoring: Tutorial for Type 1 Diabetes Care

A Quantitative Framework for Evaluating the Performance of Algorithm-Directed Whole-Population Remote Patient Monitoring: Tutorial for Type 1 Diabetes Care

A Quantitative Framework for Evaluating the Performance of Algorithm-Directed Whole-Population Remote Patient Monitoring: Tutorial for Type 1 Diabetes Care

Jamie Kurtzig   1 ;   Ananta Addala   1, 2 , DO, MPH ;   Franziska K Bishop   1 , MS, CDCES ;   Paul Dupenloup   3 , MS ;   Johannes O Ferstad   3 , PhD ;   Ramesh Johari   3 , PhD ;   David M Maahs   1, 2 , MD, PhD ;   Priya Prahalad   1, 2 , MD, PhD ;   Dessi P Zaharieva   1, 2 , PhD, CDCES ;   David Scheinker   1, 2, 3, 4, 5 , PhD

1 Division of Endocrinology, Department of Pediatrics, Stanford Medicine, Stanford, CA, United States

2 Stanford Diabetes Research Center, Stanford University, Stanford, CA, United States

3 Department of Management Science and Engineering, Stanford University, Stanford, CA, United States

4 Clinical Excellence Research Center, Stanford University, Stanford, CA, United States

5 Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States

Corresponding Author:

  • David Scheinker, PhD
  • Division of Endocrinology, Department of Pediatrics
  • Stanford Medicine
  • 291 Campus Drive
  • Stanford, CA 94305
  • United States
  • Phone: 1 (650) 7211300
  • Email: dscheink@stanford.edu