Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

How well does decision support software perform in the emergency department?

M A Graber1, D VanScoy

  • 1Department of Emergency Medicine, University of Iowa College of Medicine, Iowa City, USA. mark-graber@uiowa.edu

Emergency Medicine Journal : EMJ
|September 5, 2003
PubMed
Summary

General diagnostic decision support systems show similar performance in emergency departments as in other settings. While not a definitive diagnostic tool, these systems can aid in identifying potential diagnoses for complex cases.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Effective and evidence-based management strategies for rosacea: summary of a Cochrane systematic review.

The British journal of dermatology·2011
Same author

Sensitive technique for measuring differences in reflectivity.

Applied optics·2010
Same author

Interventions for rosacea.

The Cochrane database of systematic reviews·2005
Same author

Autonomy, consent, and limiting healthcare costs.

Journal of medical ethics·2005
Same author

Interventions for rosacea.

The Cochrane database of systematic reviews·2004
Same author

Is it ethical to lie to secure hospital admission? Yes: Lying is sometimes in the patient's best interests.

The Western journal of medicine·2001

Area of Science:

  • Medical Informatics
  • Clinical Decision Support
  • Emergency Medicine

Background:

  • Emergency departments (EDs) face unique challenges in diagnosis due to patient acuity and time constraints.
  • General diagnostic decision support systems (DDSS) are increasingly available but their efficacy in ED settings requires evaluation.

Purpose of the Study:

  • To assess the diagnostic performance of two general DDSS (Iliad and QMR) using data from an emergency department.
  • To compare the accuracy of DDSS in the ED with their performance in other clinical environments.

Main Methods:

  • A convenience sample of 25 ED patients with diagnostic questions was studied.
  • Patient data, including audiotaped interactions, notes, labs, and EKGs, were abstracted.
  • Data were input into Iliad and QMR; generated diagnoses were compared to final attending physician diagnoses.

Related Experiment Videos

Main Results:

  • The correct ED diagnosis was present in Iliad's differential diagnosis 72% of the time and in QMR's 52% of the time.
  • Correct diagnoses appeared in the top 10 for Iliad (51%) and QMR (44%), and top five for Iliad (36%) and QMR (32%).
  • Performance in the ED was comparable to that reported in other clinical settings.

Conclusions:

  • Diagnostic decision support software demonstrates consistent accuracy in the ED, similar to other clinical settings.
  • Current DDSS accuracy is insufficient for independent diagnostic arbitration in individual cases.
  • DDSS may serve as a valuable tool to prompt further investigation in challenging ED cases.