OrderRex clinical user testing: a randomized trial of recommender system decision support on simulated cases.

ABSTRACT:

Objective

To assess usability and usefulness of a machine learning-based order recommender system applied to simulated clinical cases.

Materials and methods

43 physicians entered orders for 5 simulated clinical cases using a clinical order entry interface with or without access to a previously developed automated order recommender system. Cases were randomly allocated to the recommender system in a 3:2 ratio. A panel of clinicians scored whether the orders placed were clinically appropriate. Our primary outcome included the difference in clinical appropriateness scores. Secondary outcomes included total number of orders, case time, and survey responses.

Results

Clinical appropriateness scores per order were comparable for cases randomized to the order recommender syst

SUBMITTER: Kumar A 

PROVIDER: S-EPMC7727352 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature