ArticleJournal of medical systems2020
The Impact of an Intraoperative Clinical Decision Support Tool to Optimize Perioperative Glycemic Management.
Article in Journal of medical systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Emerging Technology and the Future of Perioperative Care: Perspectives and Recommendations From the 2023 Stoelting Conference of the Anesthesia Patient Safety Foundation.Anesthesia and analgesia · 2025Review
- Digital Decision Support for Perioperative Care of Patients With Type 2 Diabetes: A Call to Action.JMIR diabetes · 2025Article
- Use of Epic Electronic Health Record System for Health Care Research: Scoping Review.Journal of medical Internet research · 2023Article
- Article
- Automated feedback modestly improves perioperative treatment adherence of postoperative nausea and vomiting.Journal of clinical anesthesia · 2023Observational
- Implementation of App-Based Diabetes Medication Management: Outpatient and Perioperative Clinical Decision Support.Current diabetes reports · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.