| Literature DB >> 23576414 |
Michael M Segal1, 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.
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.Entities:
Keywords: decision support; diagnosis; errors; genetics; medical informatics; neurogenetics
Mesh:
Year: 2013 PMID: 23576414 DOI: 10.1177/0883073813483365
Source DB: PubMed Journal: J Child Neurol ISSN: 0883-0738 Impact factor: 1.987