Published on in Vol 6, No 4 (2018): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10780, first published .
Predicting Current Glycated Hemoglobin Values in Adults: Development of an Algorithm From the Electronic Health Record

Predicting Current Glycated Hemoglobin Values in Adults: Development of an Algorithm From the Electronic Health Record

Predicting Current Glycated Hemoglobin Values in Adults: Development of an Algorithm From the Electronic Health Record

Brian J Wells   1 , MD, PhD ;   Kristin M Lenoir   1 , MPH ;   Jose-Franck Diaz-Garelli   2 , PhD ;   Wendell Futrell   3 , BS ;   Elizabeth Lockerman   4 , MD ;   Kevin M Pantalone   5 , DO ;   Michael W Kattan   6 , PhD

1 Division of Public Health Sciences, Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, United States

2 Department of Physiology and Pharmacology, Wake Forest University School of Medicine, Winston-Salem, NC, United States

3 Clinical and Translational Science Institute, Wake Forest University School of Medicine, Winston-Salem, NC, United States

4 Department of Internal Medicine, Loyola University Medical Center, Maywood, IL, United States

5 Endocrinology and Metabolism Institute, Department of Endocrinology, Diabetes and Metabolism, Cleveland Clinic, Cleveland, OH, United States

6 Lerner Research Institute, Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, United States

Corresponding Author:

  • Brian J Wells, MD, PhD
  • Division of Public Health Sciences
  • Department of Biostatistics and Data Science
  • Wake Forest University School of Medicine
  • 525 Vine Street, 4th Floor
  • Medical Center Bouldevard
  • Winston-Salem, NC
  • United States
  • Phone: 1 336 416 5185
  • Email: bjwells@wakehealth.edu