Improving Hospital Glucometrics, Workflow, and Outcomes with a Computerized Intravenous Insulin Dose Calculator Built into the Electronic Health Record
Author(s) -
Daniel Shelden,
Mohammad Ateya,
Angela Jensen,
Patrick Arnold,
Tiffany R. Bellomo,
Roma Gianchandani
Publication year - 2020
Publication title -
journal of diabetes science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.039
H-Index - 75
eISSN - 1932-3107
pISSN - 1932-2968
DOI - 10.1177/1932296820974767
Subject(s) - calculator , hypoglycemia , glycemic , medicine , insulin , blood sugar , glucose meter , insulin pump , diabetes mellitus , emergency medicine , computer science , endocrinology , type 1 diabetes , operating system
Objective: To adjust for dynamic insulin requirements in critically ill patients, intravenous (IV) insulin infusions allow for titration of the dose according to a prespecified algorithm. Despite the adaptability of IV insulin protocols, human involvement in dose calculation allows for error. We integrated a previously validated IV insulin calculator into our electronic health record (Epic) and instituted it in the cardiovascular intensive care unit (CVICU). We aim to describe the design of the calculator, the implementation process, and evaluate the calculator’s impact.Method: Employing an aggressive training program and user acceptance testing prior to significant elbow support at the time of institution, we successfully integrated the insulin calculator in our CVICU. We evaluated the glucometrics before and after implementation as well as nursing satisfaction following calculator implementation.Results: Overall, our implementation led to increased frequency of blood sugar at various glycemic targets, a trend toward less hypoglycemia or hyperglycemia. For severe hypoglycemia, our preintervention cohort had 0.02% of blood sugars less than 40 mg/dL but no blood sugars less than 40 mg/dL were identified in our patient’s postintervention. For the CVICU target blood glucose of 70-180 mg/dL, 87.97% blood sugars at baseline met goal compared to 91.39% at one month, 91.24% at three months, and 90.87% at six months postintervention.Conclusion: By utilizing an aggressive education campaign championing superusers and making adjustments to the calculator based on early problems that were encountered, we were able to improve glycemic control and limit glucose variability at our institution.
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