Improving completeness of electronic problem lists through clinical decision support: a randomized, controlled trial.

ABSTRACT:

Background

Accurate clinical problem lists are critical for patient care, clinical decision support, population reporting, quality improvement, and research. However, problem lists are often incomplete or out of date.

Objective

To determine whether a clinical alerting system, which uses inference rules to notify providers of undocumented problems, improves problem list documentation.

Study design and methods

Inference rules for 17 conditions were constructed and an electronic health record-based intervention was evaluated to improve problem documentation. A cluster randomized trial was conducted of 11 participating clinics affiliated with a large academic medical center, totaling 28 primary care clinical areas, with 14 receiving the intervention and 14 as controls. Th

SUBMITTER: Wright A 

PROVIDER: S-EPMC3384110 | biostudies-literature | 2012 Jul-Aug

REPOSITORIES: biostudies-literature