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Health Information Technology (HIT)
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The therapy for diabetes aims to alleviate hyperglycemia-related symptoms, prevent acute metabolic decompensation, and reduce chronic end-organ complications. Glycemic control is evaluated through short-term (self-monitoring, continuous glucose monitoring) and long-term (A1c, fructosamine) metrics, enabling near real-time tracking of blood glucose levels and reflecting glycemic control over specific time frames.
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Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare...
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The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
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Nursing Clinical Information System (NCIS)
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Electronic Health Record-Based Decision-Making Support in Inpatient Diabetes Management.

Johanna E Gerwer1, Grace Bacani1, Patricia S Juang1

  • 1Department of Internal Medicine, Division of Endocrinology and Metabolism, University of California San Diego, San Diego, CA, USA.

Current Diabetes Reports
|August 2, 2022
PubMed
Summary
This summary is machine-generated.

Electronic health records (EHR) offer clinical decision support (CDS) tools to improve inpatient diabetes and hyperglycemia management. These tools enhance insulin ordering, glycemic monitoring, and the treatment of critical hyperglycemic states.

Keywords:
Clinical decision supportElectronic health recordHyperglycemiaInpatient diabetes managementOrder sets

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Area of Science:

  • Medical Informatics
  • Endocrinology
  • Digital Health

Background:

  • Inpatient diabetes and hyperglycemia management presents significant clinical challenges.
  • Effective glycemic control is crucial for patient outcomes and preventing complications.

Purpose of the Study:

  • To review the utility of clinical decision support (CDS) tools within electronic health records (EHR) for managing inpatient diabetes and hyperglycemia.
  • To highlight how EHR-CDS tools can optimize patient care in hospital settings.

Main Methods:

  • Review of existing literature and clinical practices regarding EHR-CDS tools in inpatient diabetes care.
  • Analysis of functionalities such as electronic order sets and glycemic management dashboards.

Main Results:

  • Electronic order sets streamline insulin regimen ordering, reduce errors, and improve adherence to guidelines.
  • Glycemic management dashboards facilitate efficient monitoring of glucose trends and personalized insulin adjustments.
  • EHR-CDS tools aid in hypoglycemia prevention/management and the diagnosis/treatment of diabetic ketoacidosis and hyperglycemic hyperosmolar state.

Conclusions:

  • EHR-CDS tools significantly enhance the management of inpatient diabetes and hyperglycemia.
  • Implementation of these digital tools leads to improved patient safety and clinical outcomes.