Detecting Hypoglycemia Incidents Reported in Patients' Secure Messages: Using Cost-Sensitive Learning and Oversampling to Reduce Data Imbalance.

Journal: Journal of medical Internet research
Published Date: Mar 11, 2019

Abstract

BACKGROUND: Improper dosing of medications such as insulin can cause hypoglycemic episodes, which may lead to severe morbidity or even death. Although secure messaging was designed for exchanging nonurgent messages, patients sometimes report hypoglycemia events through secure messaging. Detecting these patient-reported adverse events may help alert clinical teams and enable early corrective actions to improve patient safety.

Authors

  • Jinying Chen
    Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States. Electronic address: jinying.chen@umassmed.edu.
  • John Lalor
    Bedford Veterans Affairs Medical Center, Center for Healthcare Organization and Implementation Research, Bedford, MA, United States.
  • Weisong Liu
    Human and Molecular Genetics Center, Medical College of Wisconsin, Department of Physiology, Medical College of Wisconsin and Department of Surgery, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI53226, USA.
  • Emily Druhl
    Bedford Veterans Affairs Medical Center, Center for Healthcare Organization and Implementation Research, Bedford, MA, United States.
  • Edgard Granillo
    Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States.
  • Varsha G Vimalananda
    Bedford Veterans Affairs Medical Center, Center for Healthcare Organization and Implementation Research, Bedford, MA, United States.
  • Hong Yu
    University of Massachusetts Medical School, Worcester, MA.

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