Novel Inpatient Automated Self-Adjusting Subcutaneous Insulin Algorithm: 3-Year Experience. An Observational Study - Scorecard - MDSpire

Novel Inpatient Automated Self-Adjusting Subcutaneous Insulin Algorithm: 3-Year Experience. An Observational Study

  • By

  • Robert J Rushakoff

  • Esther Rov-Ikpah

  • Gwendolyn Lee

  • Paras B Mehta

  • Craig San Luis

  • Craig Johnson

  • Suneil Koliwad

  • Cynthia Fenton

  • Michael A Kohn

  • June 24, 2025

  • 0 min

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Clinical Scorecard: Automated Self-Adjusting Subcutaneous Insulin Algorithm for Inpatients: A Three-Year Observational Study on Glycemic Control

At a Glance

CategoryDetail
ConditionInpatient hyperglycemia management in patients who are NPO, on enteral tube feedings (TF), or total parenteral nutrition (TPN)
Key MechanismsAutomated self-adjusting subcutaneous rapid-acting insulin algorithm (SQIA) integrated into EMR, titrating insulin dose every 4 hours based on point-of-care glucose measurements
Target PopulationAdult inpatients who are NPO, on continuous TF, or on continuous TPN with hyperglycemia
Care SettingHospital inpatient setting with electronic medical record (EMR) system

Key Highlights

  • SQIA significantly reduces hypoglycemia (<70 mg/dL) and severe hyperglycemia (>250 mg/dL) compared to conventional insulin (CI) orders.
  • SQIA reduces physician insulin order burden by more than 12-fold compared to CI.
  • SQIA maintains glucose control effectively even in patients receiving glucocorticoids, including high-dose regimens.

Guideline-Based Recommendations

Diagnosis

  • Use point-of-care glucose measurements every 4 hours to monitor inpatient glycemic status.

Management

  • Employ basal-bolus insulin regimens for inpatients who are NPO or receiving TF or TPN as recommended by ADA and Endocrinology Society guidelines.
  • Utilize the SQIA embedded in the EMR to automate rapid-acting insulin dose adjustments every 4 hours based on glucose values.
  • Initial insulin dose entry is required; subsequent dosing is calculated automatically by the SQIA.

Monitoring & Follow-up

  • Perform q4h point-of-care glucose testing to guide insulin dose adjustments.
  • Nursing staff enter glucose values into the EMR calculator at each insulin administration time.

Risks

  • Hypoglycemia and severe hyperglycemia are risks with insulin therapy; SQIA reduces these risks compared to conventional insulin orders.
  • Insulin stacking risk mitigated by using rapid-acting insulin every 4 hours.

Patient & Prescribing Data

4310 hospitalizations involving patients who are NPO or on TF or TPN

Patients managed with SQIA had lower rates of hypoglycemia (0.65% vs 1.10%) and severe hyperglycemia (5.40% vs 6.65%) compared to conventional insulin; glucocorticoid-treated patients showed particularly improved control with SQIA.

Clinical Best Practices

  • Integrate insulin dosing algorithms into the EMR to reduce physician order burden and improve glycemic control.
  • Use rapid-acting insulin administered every 4 hours with automated dose titration to avoid insulin stacking and hypoglycemia.
  • Continuously update and improve insulin algorithms based on clinical data and nursing workflow feedback.
  • Ensure consistent q4h glucose monitoring and timely data entry by nursing staff to optimize algorithm performance.

References

Original Source(s)

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