An Assessment of How Clinicians and Staff Members Use a Diabetes Artificial Intelligence Prediction Tool: Mixed Methods Study.

Journal: JMIR AI
Published Date: May 29, 2023

Abstract

BACKGROUND: Nearly one-third of patients with diabetes are poorly controlled (hemoglobin A≥9%). Identifying at-risk individuals and providing them with effective treatment is an important strategy for preventing poor control.

Authors

  • Winston R Liaw
    Department of Health Systems and Population Health Sciences, Tilman J Fertitta Family College of Medicine, University of Houston, Houston, TX, United States.
  • Yessenia Ramos Silva
    Rice University, Houston, TX, United States.
  • Erica G Soltero
    USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, United States.
  • Alex Krist
    Department of Family Medicine & Population Health, Virginia Commonwealth University School of Medicine, Richmond, VA, United States.
  • Angela L Stotts
    Department of Family & Community Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, United States.

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