Literature DB >> 32827095

The Impact of an Intraoperative Clinical Decision Support Tool to Optimize Perioperative Glycemic Management.

Gen Li1, Chelsie J K Dietz2, Robert E Freundlich3, Matthew S Shotwell4, Jonathan P Wanderer3.   

Abstract

With the transition from Vanderbilt's Perioperative Information Management System (VPIMS) to Epic's Best Practice Advisory (BPA) framework, a replacement intraoperative glucose clinical decision support (CDS) system was designed. We examined changes in the frequency of intraoperative glucose monitoring, hyper- and hypoglycemia rates in the post-anesthesia care unit (PACU), to determine the impact of the changes on glucose management. Data were collected into three phases: 1) VPIMS CDS, 2) No CDS, and 3) BPA CDS. One-way ANOVA was conducted to test the significance of changes in the frequency of glucose monitoring and abnormal glucose across phases. Interrupted time series segmented analysis was performed to assess the autocorrelation and trend over times. A total of 3706 cases were analyzed. The monitoring rate fell from 84.5% in VPIMS CDS to 67.6% in No CDS (p < .001) and increased to 83.1% in BPA CDS (p < .001). The PACU hyperglycemia rate increased from VPIMS CDS to No CDS (5.2% to 10.4%, p < .001) and decreased from No CDS to BPA CDS (10.4% to 7.2%, p = 0.031). The segmented analysis demonstrated immediate changes in the intraoperative monitoring frequency (p < .001) and postoperative hyperglycemia rate (p = 0.002) with the replacement of CDS. The temporary removal of CDS was associated with a significant reduction in intraoperative glucose monitoring and increased hyperglycemia in the PACU. Implementation of the BPA CDS led to a significant improvement in the intraoperative glucose monitoring and glucose management in the PACU.

Entities:  

Keywords:  Clinical decision support system; Glycemic management; Intraoperative glucose monitoring; Postoperative hyperglycemia

Mesh:

Substances:

Year:  2020        PMID: 32827095      PMCID: PMC7547403          DOI: 10.1007/s10916-020-01643-1

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


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