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Updated: Jan 7, 2026

Improving IV Insulin Administration in a Community Hospital
Published on: June 11, 2012
Implementation of a Multihospital Electronic Medical Record-Based Insulin Order Set to Reduce Hypoglycemic Events
Domenic DiSanti1,2, April Goley2, Avni Garg2
1Department of Diabetes, Endocrinology and Metabolism, University of Nebraska Medical Center, Omaha, Nebraska.
Implementing a standardized electronic insulin order set significantly reduced hypoglycemia events in hospitalized patients with diabetes. This quality improvement initiative improved glycemic control and demonstrated the value of standardized protocols in inpatient diabetes management.
Area of Science:
- Internal Medicine
- Endocrinology
- Quality Improvement
Background:
- Glycemic control in hospitalized patients with diabetes is challenging and hypoglycemia increases risks.
- Standardized insulin order sets can improve glycemic management and reduce adverse events.
Purpose of the Study:
- To evaluate the impact of a mandatory electronic medical record-based insulin order set on hypoglycemia and hyperglycemia in hospitalized patients.
- To assess improvements in insulin order accuracy and adherence to best practices.
Main Methods:
- A quality improvement project implemented a standardized insulin order set across 10 hospitals.
- The order set included fail-safes for insulin-to-nutrition mismatch, basal/bolus coverage, and dose accuracy.
- Primary outcome was hypoglycemia days per 1000 patient-days; secondary outcomes included hyperglycemia and Hemoglobin A1c orders.
Main Results:
- Hypoglycemia days decreased by 24% (13 to 10 per 1000 patient-days, P < .01) across 9 of 10 sites.
- Hyperglycemia days decreased by 16% (90 to 76 per 1000 patient-days, P < .01).
- Hemoglobin A1c ordering improved by 12% (60% to 67%, P < .01).
Conclusions:
- A mandatory, standardized electronic insulin order set effectively reduced hypoglycemia in hospitalized patients.
- The protocol demonstrated value in inpatient diabetes management, though site-specific variations indicate a need for tailored approaches.
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