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Evidence-based decision support for neurological diagnosis reduces errors and unnecessary workup

  • Michael M. Segal
  • , Marc S. Williams
  • , Andrea L. Gropman
  • , Alcy R. Torres
  • , Rob Forsyth
  • , Anne M. Connolly
  • , Ayman W. El-Hattab
  • , Seth J. Perlman
  • , Debopam Samanta
  • , Sumit Parikh
  • , Steven G. Pavlakis
  • , Lynn K. Feldman
  • , Rebecca A. Betensky
  • , Sidney M. Gospe

Research output: Contribution to journalArticlepeer-review

Abstract

Using vignettes of real cases and the SimulConsult diagnostic decision support software, neurologists listed a differential diagnosis and workup before and after using the decision support. Using the software, there was a significant reduction in error, up to 75% for diagnosis and 56% for workup. This error reduction occurred despite the baseline being one in which testers were allowed to use narrative resources and Web searching. A key factor that improved performance was taking enough time (>2 minutes) to enter clinical findings into the software accurately. Under these conditions and for instances in which the diagnoses changed based on using the software, diagnostic accuracy improved in 96% of instances. There was a 6% decrease in the number of workup items accompanied by a 34% increase in relevance. The authors conclude that decision support for a neurological diagnosis can reduce errors and save on unnecessary testing.

Original languageEnglish
Pages (from-to)487-492
Number of pages6
JournalJournal of Child Neurology
Volume29
Issue number4
DOIs
StatePublished - Apr 2014

Keywords

  • decision support
  • diagnosis
  • errors
  • genetics
  • medical informatics
  • neurogenetics

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