Visualizing Patterns of Drug Prescriptions with EventFlow: A Pilot Study of Asthma Medications in the Military Health System

Abstract

The Food and Drug Administration and Department of Defense were interested in detecting sub-optimal use of long-acting beta-agonists (LABAs) in asthmatics within the Military Health System (MHS). Visualizing the patterns of asthma medication use surrounding a LABA prescription is a quick way to detect possible sub-optimal use for further evaluation. Analysis of 100 asthma patients was conducted in EventFlow to display and summarize timepoint and interval data. Epidemiologists reported that EventFlow was a powerful tool for rapidly visualizing possible patterns of sub-optimal LABA use that can be targeted for intervention.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2013
Accession Number
ADA588018

Entities

People

  • Ben Shneiderman
  • Catherine Plaisant
  • Jeff Millstein
  • Krist Wongsuphasawat
  • Megan Monroe
  • Rongjian Lan
  • Sigfried Gold
  • Tamra E. Meyer
  • Trinka S. Coster

Organizations

  • Office of the Inspector General, U.S. Department of Defense

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Allergy And Immunology
  • Biomedical Research
  • Case Studies
  • Data Mining
  • Databases
  • Drug Therapy
  • Health Services
  • Institutional Review Board
  • Intervals
  • Intervention
  • Language
  • Maryland
  • Military Medicine
  • Pattern Recognition
  • Pilot Studies
  • Relational Databases
  • Therapy

Fields of Study

  • Medicine

Readers

  • Allergy and Immunology.
  • Computer Vision.
  • Medical or Health Care Field.