401. Decision Support Tool to Improve Glucose Control Compliance After Cardiac Surgery
- Author
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Vitali Fedosov, Vitaly Herasevich, Mikhail A. Dziadzko, Joseph A. Dearani, Daniel R. Brown, and Brian W. Pickering
- Subjects
Blood Glucose ,Male ,medicine.medical_specialty ,Decision support system ,media_common.quotation_subject ,Minnesota ,Control (management) ,Critical Care Nursing ,03 medical and health sciences ,0302 clinical medicine ,Predictive Value of Tests ,Risk Factors ,Critical care nursing ,medicine ,Humans ,Quality (business) ,030212 general & internal medicine ,Cardiac Surgical Procedures ,Intensive care medicine ,Decision Making, Computer-Assisted ,media_common ,Aged ,Retrospective Studies ,business.industry ,030208 emergency & critical care medicine ,Retrospective cohort study ,General Medicine ,Middle Aged ,Surgical Care Improvement Project ,Predictive value of tests ,Case-Control Studies ,Hyperglycemia ,Emergency Medicine ,Female ,Metric (unit) ,Guideline Adherence ,business - Abstract
Hyperglycemia control is associated with improved outcomes in patients undergoing cardiac surgery. The Surgical Care Improvement Project metric (SCIP-inf-4) was introduced as a performance measure in surgical patients and included hyperglycemia control. Compliance with the SCIP-inf-4 metric remains suboptimal. A novel real-time decision support tool (DST) with guaranteed feedback that is based on the existing electronic medical record system was developed at a tertiary academic center. Implementation of the DST increased the compliance rate with the SCIP-inf-4 from 87.3% to 96.5%. Changes in tested clinical outcomes were not observed with improved metric compliance. This new framework can serve as a backbone for development of quality control processes for other metrics. Further and, ideally, multicenter studies are required to test if implementation of electronic DSTs will translate into improved resource utilization and outcomes for patients.
- Published
- 2016