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Electronic Health Record–Based Decision-Making Support in Inpatient Diabetes Management

PURPOSE OF REVIEW: This review discusses ways in which the electronic health record (EHR) can offer clinical decision support (CDS) tools for management of inpatient diabetes and hyperglycemia. RECENT FINDINGS: The use of electronic order sets can help providers order comprehensive basal bolus insul...

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Autores principales: Gerwer, Johanna E., Bacani, Grace, Juang, Patricia S., Kulasa, Kristen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355925/
https://www.ncbi.nlm.nih.gov/pubmed/35917098
http://dx.doi.org/10.1007/s11892-022-01481-0
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author Gerwer, Johanna E.
Bacani, Grace
Juang, Patricia S.
Kulasa, Kristen
author_facet Gerwer, Johanna E.
Bacani, Grace
Juang, Patricia S.
Kulasa, Kristen
author_sort Gerwer, Johanna E.
collection PubMed
description PURPOSE OF REVIEW: This review discusses ways in which the electronic health record (EHR) can offer clinical decision support (CDS) tools for management of inpatient diabetes and hyperglycemia. RECENT FINDINGS: The use of electronic order sets can help providers order comprehensive basal bolus insulin regimens that are consistent with current guidelines. Order sets have been shown to reduce insulin errors and hypoglycemia rates. They can also help set glycemic targets, give hemoglobin A1C reminders, guide weight-based dosing, and match insulin regimen to nutritional profile. Glycemic management dashboards allow multiple variables affecting blood glucose to be shown in a single view, which allows for efficient evaluation of glucose trends and adjustment of insulin regimen. With the use glycemic management dashboards, active surveillance and remote management also become feasible. Hypoglycemia prevention and management are another part of inpatient diabetes management that is enhanced by EHR CDS tools. Furthermore, diagnosis and management of diabetic ketoacidosis and hyperglycemia hyperosmolar state are improved with the aid of EHR CDS tools. SUMMARY: The use of EHR CDS tools helps improve the care of patients with diabetes and hyperglycemia in the inpatient hospital setting.
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spelling pubmed-93559252022-08-07 Electronic Health Record–Based Decision-Making Support in Inpatient Diabetes Management Gerwer, Johanna E. Bacani, Grace Juang, Patricia S. Kulasa, Kristen Curr Diab Rep Health Care Delivery Systems and Implementation in Diabetes (ME McDonnell and AR Sadhu, Section Editor) PURPOSE OF REVIEW: This review discusses ways in which the electronic health record (EHR) can offer clinical decision support (CDS) tools for management of inpatient diabetes and hyperglycemia. RECENT FINDINGS: The use of electronic order sets can help providers order comprehensive basal bolus insulin regimens that are consistent with current guidelines. Order sets have been shown to reduce insulin errors and hypoglycemia rates. They can also help set glycemic targets, give hemoglobin A1C reminders, guide weight-based dosing, and match insulin regimen to nutritional profile. Glycemic management dashboards allow multiple variables affecting blood glucose to be shown in a single view, which allows for efficient evaluation of glucose trends and adjustment of insulin regimen. With the use glycemic management dashboards, active surveillance and remote management also become feasible. Hypoglycemia prevention and management are another part of inpatient diabetes management that is enhanced by EHR CDS tools. Furthermore, diagnosis and management of diabetic ketoacidosis and hyperglycemia hyperosmolar state are improved with the aid of EHR CDS tools. SUMMARY: The use of EHR CDS tools helps improve the care of patients with diabetes and hyperglycemia in the inpatient hospital setting. Springer US 2022-08-02 2022 /pmc/articles/PMC9355925/ /pubmed/35917098 http://dx.doi.org/10.1007/s11892-022-01481-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Health Care Delivery Systems and Implementation in Diabetes (ME McDonnell and AR Sadhu, Section Editor)
Gerwer, Johanna E.
Bacani, Grace
Juang, Patricia S.
Kulasa, Kristen
Electronic Health Record–Based Decision-Making Support in Inpatient Diabetes Management
title Electronic Health Record–Based Decision-Making Support in Inpatient Diabetes Management
title_full Electronic Health Record–Based Decision-Making Support in Inpatient Diabetes Management
title_fullStr Electronic Health Record–Based Decision-Making Support in Inpatient Diabetes Management
title_full_unstemmed Electronic Health Record–Based Decision-Making Support in Inpatient Diabetes Management
title_short Electronic Health Record–Based Decision-Making Support in Inpatient Diabetes Management
title_sort electronic health record–based decision-making support in inpatient diabetes management
topic Health Care Delivery Systems and Implementation in Diabetes (ME McDonnell and AR Sadhu, Section Editor)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355925/
https://www.ncbi.nlm.nih.gov/pubmed/35917098
http://dx.doi.org/10.1007/s11892-022-01481-0
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