A tiered approach is more cost effective than traditional pharmacist-based review for classifying computer-detected signals as adverse drug events

Carol Hope, J. Marc Overhage, Andrew Seger, Evgenia Teal, Vera Mills, Julie Fiskio, Tejal K. Gandhi, David W. Bates, Michael Murray

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

Objective. To develop a cost-efficient method for identifying adverse drug events (ADEs) and medication errors (MEs) identified using outpatient electronic medical records within ambulatory settings. Design. Comparison of sensitivity and cost of "traditional" pharmacist based approach to identifying ADEs and MEs during a 4 month period with a tiered approach. Results. The proportion of computer generated signals analyzed identified as ADEs were similar using the two approaches while the number of MEs was nearly double with tiered reviews suggesting the same or better sensitivity. Traditional pharmacist review cost $68.70 to detect an ADE and tiered approach cost only $42.40. Conclusion. Tiered review of ADEs and MEs by personnel with increasing clinical capability is more cost-efficient than pharmacist review.

Original languageEnglish
Pages (from-to)92-98
Number of pages7
JournalJournal of Biomedical Informatics
Volume36
Issue number1-2
DOIs
StatePublished - Feb 2003

Fingerprint

Medication Errors
Drug-Related Side Effects and Adverse Reactions
Pharmacists
Costs and Cost Analysis
Costs
Electronic medical equipment
Electronic Health Records
Outpatients
Personnel

Keywords

  • Adverse drug events
  • Adverse drug reaction reporting systems
  • Ambulatory care
  • Computerized ambulatory care information systems
  • Medical errors
  • Medical records systems
  • Medication errors
  • Quality of health care

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics

Cite this

A tiered approach is more cost effective than traditional pharmacist-based review for classifying computer-detected signals as adverse drug events. / Hope, Carol; Overhage, J. Marc; Seger, Andrew; Teal, Evgenia; Mills, Vera; Fiskio, Julie; Gandhi, Tejal K.; Bates, David W.; Murray, Michael.

In: Journal of Biomedical Informatics, Vol. 36, No. 1-2, 02.2003, p. 92-98.

Research output: Contribution to journalArticle

Hope, Carol ; Overhage, J. Marc ; Seger, Andrew ; Teal, Evgenia ; Mills, Vera ; Fiskio, Julie ; Gandhi, Tejal K. ; Bates, David W. ; Murray, Michael. / A tiered approach is more cost effective than traditional pharmacist-based review for classifying computer-detected signals as adverse drug events. In: Journal of Biomedical Informatics. 2003 ; Vol. 36, No. 1-2. pp. 92-98.
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