Identification, Classification, and Frequency of Medical Errors in Outpatient Diabetes Care

Abstract

Diabetes-related medical errors in outpatient practice are common and costly. This study attempts to accurately identify, classify, and interpret patterns of diabetes-related medical errors in primary care settings using diagnostic, laboratory, and pharmacy data.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2005
Accession Number
ADA434279

Entities

People

  • Joann M. Sperl-hillen
  • Patrick J. O'connor
  • Paul E. Johnson
  • William A. Rush

Organizations

  • United States Agency for Healthcare Research and Quality

Tags

DTIC Thesaurus Topics

  • Acid-Base Imbalance
  • Cardiovascular Physiological Phenomena
  • Chronic Diseases
  • Classification
  • Computer Programs
  • Congestive Heart Failure
  • Disease Attributes
  • Diseases And Disorders
  • Drug Therapy
  • Frequency
  • Health Care
  • Health Services
  • Heart Failure
  • Identification
  • Lung Diseases
  • Medical Personnel
  • Therapy

Fields of Study

  • Medicine

Readers

  • Medical or Health Care Field.
  • Sensor Fusion and Tracking Systems.