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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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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. |
format | Online Article Text |
id | pubmed-9355925 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
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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