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12:08
Improving IV Insulin Administration in a Community Hospital
Published on: June 11, 2012
The future is now: software-guided intensive insulin therapy in the critically ill
Rishi Rattan1, Stanley A Nasraway
1Tufts Medical Center, Boston, MA 02111, USA.
Journal of Diabetes Science and Technology
|April 10, 2013
Summary
Software-guided (SG) algorithms offer a new approach to tight glycemic control (TGC) in critically ill adults. Further standardization of measurements and variables is needed for improved algorithm development and clinical implementation.
Area of Science:
- Critical care medicine
- Endocrinology
- Biomedical informatics
Background:
- Intensive insulin therapy in critically ill adults presents challenges for achieving tight glycemic control (TGC).
- Software-guided (SG) algorithms are emerging as a novel method for glycemic management in critical illness.
Purpose of the Study:
- To provide an overview of the current status of software-guided tight glycemic control (SG TGC) in critical care.
- To identify future directions and necessary advancements for SG TGC algorithms.
Main Methods:
- Review of the current landscape of software-guided algorithms for insulin dosing in critically ill patients.
- Analysis of existing research on tight glycemic control and its complexities.
Main Results:
- The current field of SG TGC is characterized by disorganization and a lack of research incorporating advanced glycemic variables.
- Glycemic variability is an underutilized variable in current dysglycemia management strategies.
Conclusions:
- Standardization of measurements and variables is crucial for the development and implementation of more effective SG TGC algorithms.
- Interdisciplinary collaboration among scientists, programmers, and clinicians is essential for advancing SG TGC.
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