Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Computer-based insulin infusion protocol improves glycemia control over manual protocol.

Jeffrey B Boord1, Mona Sharifi, Robert A Greevy

  • 1Vanderbilt University, Division of Cardiovascular Medicine, Nashville, TN 37232-8802, USA. jeffrey.boord@vanderbilt.edu

Journal of the American Medical Informatics Association : JAMIA
|March 3, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Validation and application of automated CT analysis to musculoskeletal profiling in MVC occupants.

Traffic injury prevention·2026
Same author

Comparison of Semaglutide and Lifestyle Counselling for Weight Loss Using Multi-Site Electronic Health Records.

Clinical obesity·2026
Same author

PCORnet®: 10 Years of Research Innovation.

Medical care·2026
Same author

Leveraging PCORnet® to Advance Clinical Genetics and the Genomic Learning Health System.

Medical care·2026
Same author

Evaluation of an Automated Software Method Versus a Delphi Process to Translate Emergency General Surgery ICD Diagnosis Codes: Lost in Translation.

Annals of surgery open : perspectives of surgical history, education, and clinical approaches·2025
Same author

Author Correction: Lack of macrophage fatty-acid-binding protein aP2 protects mice deficient in apolipoprotein E against atherosclerosis.

Nature medicine·2025

Implementing a computer-based intravenous insulin protocol in a surgical intensive care unit (SICU) significantly improved blood glucose control compared to manual methods. This enhanced glycemic management reduced the time to insulin initiation and maintained safety, benefiting critically ill patients.

Area of Science:

  • Critical Care Medicine
  • Clinical Informatics
  • Endocrinology

Background:

  • Hyperglycemia is a significant factor negatively impacting clinical outcomes in critically ill patients.
  • Precise glycemic control through intravenous insulin administration is crucial for improving patient outcomes.
  • Previous manual protocols for insulin therapy in intensive care units had limitations in efficiency and precision.

Purpose of the Study:

  • To evaluate the effectiveness of an intravenous insulin protocol integrated into a Computerized Provider Order Entry (CPOE) system.
  • To determine if the CPOE-based protocol could improve glycemic control compared to a prior paper-based, manual protocol.
  • To assess the impact of the integrated system on the timeliness and quality of insulin therapy initiation and maintenance.

Main Methods:

Related Experiment Videos

  • A retrospective before-and-after study design was employed.
  • Consecutive adult patients admitted to a surgical intensive care unit (SICU) were analyzed during two periods: pre-implementation (manual protocol) and post-implementation (CPOE-based protocol).
  • Key metrics included the percentage of glucose readings within the target range (70-109 mg/dl) and time spent within this range during the initial 5 days of SICU stay.

Main Results:

  • The CPOE-based insulin protocol significantly reduced the time from initial glucose measurement to insulin therapy initiation.
  • A higher percentage of all SICU glucose readings fell within the ideal target range with the computer-based protocol.
  • Improved glycemic control was observed in patients requiring intravenous insulin for 24 hours or longer.
  • Hypoglycemia events (glucose <40 mg/dl) remained rare in both study periods.

Conclusions:

  • Integration of an intravenous insulin protocol into a CPOE system led to improved glycemia control in SICU patients compared to a manual protocol.
  • The computer-based system demonstrated enhanced efficiency by reducing the time to initiate insulin therapy.
  • The CPOE-integrated protocol offers a safe, effective, and efficient method for managing glycemic control in critically ill patients within the SICU setting.