Effect of an Electronic Medical Record-Based Clinical Decision Support System on Adherence to Clinical Protocols: An Interrupted Time Series Study in Inflammatory Bowel Disease (Preprint)
Authors: Sutton Reed Taylor , Chappell Kaitlyn Delaney , Pincock David , Sadowski Daniel , Baumgart Daniel C , Kroeker Karen I 
Published: December 2023

BACKGROUND

Electronic medical record (EMR) (also called electronic health record (EHR)) embedded clinical decision support systems (CDSS) have the potential to improve the adoption of clinical guidelines. The University of Alberta Inflammatory Bowel Disease (IBD) Group developed a CDSS for IBD patients with suspected disease flare and deployed it within a clinical information system (CIS) in two continuous time periods.

OBJECTIVE

This study aims to evaluate the impact of the IBD CDSS on health care provider (physicians and nurses) adherence to institutionally agreed clinical management protocols.

METHODS

Two-period interrupted time-series (ITS) design, comparing adherence to a clinical flare management protocol during outpatient visits pre- and post-implementation of the CDSS. Each interruption was initiated with user training and a memo with instructions for use. 7 physicians, 1 nurse practitioner, and 4 nurses were invited to use the CDSS. 31,726 flare encounters were extracted from the CIS database, after which 9,217 were manually screened for inclusion. Each data point in the ITS analysis corresponds to one month of individual patient encounters, with a total of 18 months of data, 9 pre- and 9 post-interruption, for each period. The study was designed in accordance with STARE-HI guidelines for health informatics evaluations.

RESULTS

Following manual screening, 623 flare encounters were confirmed and designated for ITS analysis. The CDSS was activated in 198/623 of the encounters, most commonly in cases where the primary visit reason was a suspected IBD flare. In Period 1, before-and-after analysis demonstrates an increase in documentation of clinical scores from 3.5% to 24.1% (P<.001), which also showed a statistically significant level change on ITS analysis (P=.028). In Period 2, before-and-after analysis showed further increases in ordering of acute disease flare lab tests (47.6% to 65.8%, P <.001), including the biomarker fecal calprotectin (27.9% to 37.3%, P=.028), and stool culture testing (54.6% to 66.9%, P=.005), the latter which is a test used to distinguish a flare from an infectious disease. There were no significant slope or level changes on ITS analyses in Period 2. The overall provider adoption rate was moderate at approximately 25%, with greater adoption by nurse providers (used in 30.5% of flare encounters) than physicians (used in 6.7% of flare encounters).

CONCLUSIONS

This is one of the first studies to investigate the implementation of a CDSS for IBD designed with a leading EMR software (Epic Systems, Verona, WI, USA), providing initial evidence of an improvement over routine care. Several areas for future research were identified, notably the effect of CDSS on outcomes, and how to design CDSS with greater utility for physicians. CDSS for IBD should also be evaluated on a larger scale, which can be facilitated by regional and national centralized EMR systems.