Evidence-based decision support for pediatric rheumatology reduces diagnostic errors.

ABSTRACT:

Background

The number of trained specialists world-wide is insufficient to serve all children with pediatric rheumatologic disorders, even in the countries with robust medical resources. We evaluated the potential of diagnostic decision support software (DDSS) to alleviate this shortage by assessing the ability of such software to improve the diagnostic accuracy of non-specialists.

Methods

Using vignettes of actual clinical cases, clinician testers generated a differential diagnosis before and after using diagnostic decision support software. The evaluation used the SimulConsult® DDSS tool, based on Bayesian pattern matching with temporal onset of each finding in each disease. The tool covered 5405 diseases (averaging 22 findings per disease). Rheumatology content in the dat

SUBMITTER: Segal MM 

PROVIDER: S-EPMC5155385 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature