Adaptive design of a clinical decision support tool: What the impact on utilization rates means for future CDS research.

ABSTRACT:

Objective

We employed an agile, user-centered approach to the design of a clinical decision support tool in our prior integrated clinical prediction rule study, which achieved high adoption rates. To understand if applying this user-centered process to adapt clinical decision support tools is effective in improving the use of clinical prediction rules, we examined utilization rates of a clinical decision support tool adapted from the original integrated clinical prediction rule study tool to determine if applying this user-centered process to design yields enhanced utilization rates similar to the integrated clinical prediction rule study.MATERIALS & METHODS: We conducted pre-deployment usability testing and semi-structured group interviews at 6 months post-deployment with 7

SUBMITTER: Mann D 

PROVIDER: S-EPMC6376549 | biostudies-literature | 2019 Jan-Dec

REPOSITORIES: biostudies-literature