• Clinical Evidence

Effects of Computerized Decision Support Systems on Blood Glucose Regulation in Critically Ill Surgical Patients

Setting: 763-bed acute care teaching and research hospital.

Objective

This prospective study evaluates the impact of implementing a computerized decision support system (EndoTool) for the management of blood glucose in critically ill surgical patients, specifically, patients treated in surgical, neurotrauma, thoracic and cardiac surgical intensive care units as well as a cardiac surgical progressive care unit.

Setting

763-bed acute care teaching and research hospital.

Results

  • Mean aggregate incidence of hypoglycemia <40 mg/dL decreased 95% with EndoTool, from 1.0% to 0.05% of blood glucose measurements.
  • Mean incidence of hyperglycemia >150 mg/dL decreased 50% with EndoTool, from 33.8% to 16.8% of blood glucose measurements.
  • 12-month rolling mean number of healthcare-associated infections (VAP, CAUTI and CLABSI) decreased 78% with EndoTool.
  • Average number of blood glucose measurements per month decreased 46% with EndoTool.

Conclusions

Implementation of a computerized decision support system (EndoTool) is feasible, has a short learning curve and positively impacts nursing workload by decreasing the total number of blood glucose measurements and eliminating the need for paper protocol calculations; it also directly correlates with reduced incidence of hypoglycemia, hyperglycemia and healthcare-associated infections.

Objective

This prospective study evaluates the impact of implementing a computerized decision support system (EndoTool) for the management of blood glucose in critically ill surgical patients, specifically, patients treated in surgical, neurotrauma, thoracic and cardiac surgical intensive care units as well as a cardiac surgical progressive care unit.

Setting

763-bed acute care teaching and research hospital.

Results
  • Mean aggregate incidence of hypoglycemia <40 mg/dL decreased 95% with EndoTool, from 1.0% to 0.05% of blood glucose measurements.
  • Mean incidence of hyperglycemia >150 mg/dL decreased 50% with EndoTool, from 33.8% to 16.8% of blood glucose measurements.
  • 12-month rolling mean number of healthcare-associated infections (VAP, CAUTI and CLABSI) decreased 78% with EndoTool.
  • Average number of blood glucose measurements per month decreased 46% with EndoTool.
Conclusions

Implementation of a computerized decision support system (EndoTool) is feasible, has a short learning curve and positively impacts nursing workload by decreasing the total number of blood glucose measurements and eliminating the need for paper protocol calculations; it also directly correlates with reduced incidence of hypoglycemia, hyperglycemia and healthcare-associated infections.

References

Authors

Sandy Fogel, MD, FACS; Christopher Baker, MD, FACS.

Source

Published in Journal of the American College of Surgeons, Volume 216, Issue 4, p828-833.

Year

2013

Quick navigation
Objective
Setting
Results
Conclusions
References
Objective

This prospective study evaluates the impact of implementing a computerized decision support system (EndoTool) for the management of blood glucose in critically ill surgical patients, specifically, patients treated in surgical, neurotrauma, thoracic and cardiac surgical intensive care units as well as a cardiac surgical progressive care unit.

Setting

763-bed acute care teaching and research hospital.

Results
  • Mean aggregate incidence of hypoglycemia <40 mg/dL decreased 95% with EndoTool, from 1.0% to 0.05% of blood glucose measurements.
  • Mean incidence of hyperglycemia >150 mg/dL decreased 50% with EndoTool, from 33.8% to 16.8% of blood glucose measurements.
  • 12-month rolling mean number of healthcare-associated infections (VAP, CAUTI and CLABSI) decreased 78% with EndoTool.
  • Average number of blood glucose measurements per month decreased 46% with EndoTool.
Conclusions

Implementation of a computerized decision support system (EndoTool) is feasible, has a short learning curve and positively impacts nursing workload by decreasing the total number of blood glucose measurements and eliminating the need for paper protocol calculations; it also directly correlates with reduced incidence of hypoglycemia, hyperglycemia and healthcare-associated infections.

References

Authors

Sandy Fogel, MD, FACS; Christopher Baker, MD, FACS.

Source

Published in Journal of the American College of Surgeons, Volume 216, Issue 4, p828-833.

Year

2013

Short and Sweet Headlines are Best!

Related posts

Image
  • Clinical Evidence

Using EndoTool to Optimize Insulin Management in DKA Patients with Renal Impairment

Using EndoTool to Optimize Insulin Management in DKA Patients with Renal Impairment

The objective of this study was to evaluate the impact of renal insufficiency on hypoglycemia rates in patients treated for Diabetic Ketoacidosis (DKA) utilizing a computerized insulin dosing algorithm.
Image
  • Clinical Evidence

Achieving Optimal Glucose Control in Critical Care Units at Atrium Health

20 minute read

Achieving Optimal Glucose Control in Critical Care Units at Atrium Health

The objective of this study was to evaluate the impact of different blood glucose (BG) target ranges for IV insulin infusions on inpatient glucose metrics, specifically focusing on hypo and hyperglycemic events, duration of IV insulin therapy, and length of stay (LOS) in the hospital.
Image
  • Clinical Evidence

Atrium Health Lowers Hospital Stay for DKA Patients, Yielding $12 Million in Savings

Atrium Health Lowers Hospital Stay for DKA Patients, Yielding $12 Million in Savings

To compare the effectiveness of EndoTool IV in reducing hospital LOS and hypoglycemia rates compared to standard insulin infusion protocols.
Get in Touch

Ready to get started?

Fill in your details and one of our friendly team members will be in touch to show you how easily EndoTool can support your hospital.

"*" indicates required fields

Name*
This field is for validation purposes and should be left unchanged.