Insulin Infusion Computer Calculator Programmed Directly Into Electronic Health Record Medication Administration Record

Author:

Kulasa Kristen1ORCID,Serences Brittany2,Nies Michael3ORCID,El-Kareh Robert4,Kurashige Kirk5,Box Kevin6

Affiliation:

1. Division of Endocrinology, Diabetes and Metabolism, University of California, San Diego, San Diego, CA, USA

2. Department of Nursing Education, Development and Research, University of California, San Diego, San Diego, CA, USA

3. Department of Information Services, University of California San Diego Health, San Diego, CA, USA

4. Health Department of Biomedical Informatics, University of California, San Diego, San Diego, CA, USA

5. Department of Information Services-Analytics, University of California San Diego Health, San Diego, CA, USA

6. Department of Pharmacy, University of California, San Diego, San Diego, CA, USA

Abstract

Background: Computerized insulin infusion protocols have demonstrated higher staff satisfaction, better compliance with protocols, and increased time with glucose in range compared to paper protocols. At University of California San Diego Health (UCSDH), we implemented an insulin infusion computer calculator (IICC) and transitioned it from a web-based platform directly into the electronic medication administration record (eMAR) of our primary electronic health record (EHR). Methods: This is a retrospective analysis of 6306 adult patients at UCSDH receiving intravenous (IV) insulin infusion from March 7, 2013 to May 30, 2019. We created three periods of the study—(1) the pre-eMAR integration period; (2) the eMAR integration period; and (3) the post-eMAR integration period—and looked at the percentage of readings within goal range (90-150 mg/dL for intensive care unit [ICU], 90-180 mg/dL for non-ICU) in patients with and without hyperglycemic emergencies. As our safety endpoints, we elected to look at incidence of blood glucose (BG) readings <70 mg/dL, <54 mg/dL, and <40 mg/dL. Results: Pre-eMAR 69.8% of readings were in the 90-150 mg/dL range compared to 70.2% post-eMAR ( P = .03) and 82.7% of readings were in the 90-180 mg/dL range pre-eMAR versus 82.9% ( P = .09) post-eMAR in patients without hyperglycemic emergencies. Rates of hypoglycemia with BG <70 mg/dL were 0.43%, <54 mg/dL were 0.07%, and <40 mg/dL were 0.01% of readings pre- and post-eMAR. Conclusions: At UCSDH, our IICC has shown to be safe and effective in a wide variety of clinical situations and we were able to successfully transition it from a web-based platform directly into the eMAR of our primary EHR.

Publisher

SAGE Publications

Subject

Biomedical Engineering,Bioengineering,Endocrinology, Diabetes and Metabolism,Internal Medicine

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Closed-Loop Medication Management with an Electronic Health Record System in U.S. and Finnish Hospitals;International Journal of Environmental Research and Public Health;2023-08-30

2. A Retrospective Cohort Analysis of Two Computerized Insulin Infusion Protocols;Journal of Diabetes Science and Technology;2023-03-22

3. Computer-Guided Approaches to Inpatient Insulin Management;Contemporary Endocrinology;2023

4. Inpatient Type 1 Diabetes;Contemporary Endocrinology;2023

5. Electronic Health Record–Based Decision-Making Support in Inpatient Diabetes Management;Current Diabetes Reports;2022-08-02

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