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Appl Clin Inform 2026; 17(02): 190-193
DOI: 10.1055/a-2838-8292
Brief Scientific Communication

Stewardship of Inpatient A1c Testing: An Electronic Nudge to Limit Testing after Red Cell Transfusion

Authors

  • Andrew A. White 

    1   Department of Medicine, University of Washington School of Medicine, Seattle, Washington, United States

  • Brent E. Wisse

    1   Department of Medicine, University of Washington School of Medicine, Seattle, Washington, United States
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Abstract

Background

Guidelines recommend measuring glycated hemoglobin (HgbA1c) levels on all inpatients with diabetes mellitus, if untested in the prior 3 months. In response, our health system applies default HgbA1c orders in the electronic insulin orders for qualifying patients. However, recent red blood cell transfusions may cause falsely low HgbA1c values, leading to inappropriate management. Clinicians often forget to deselect default HgbA1c orders after transfusion, leading to erroneous results. We evaluated a non-interruptive clinical decision support (CDS) intervention to discourage automatic HgbA1c testing in patients with recent transfusions.

Methods

A retrospective, observational analysis of the number and percentage of HgbA1c tests performed on inpatients within 7 days of a red blood cell transfusion over a 40-month period.

Results

Preintervention, clinicians ordered an average of 827 HgbA1c tests/month on inpatients. Of these, 11.7% (97 tests/month) were on patients who received a red blood cell transfusion within the preceding 7 days. Postintervention, clinicians ordered an average of 832 HgbA1c tests per month on inpatients, of which 5.8% (48 tests/month) were performed within 7 days of red blood cell transfusions.

Conclusion

A non-interruptive CDS intervention can significantly decrease the number of HgbA1c tests performed in hospitalized patients who received a red blood cell transfusion, a common cause of erroneous HgbA1c values. This approach reduced waste without restricting clinician autonomy or requiring interruptive alerts that generate alert fatigue.

Keywords

endocrinology - diabetes mellitus - clinical information systems - clinical decision support - nudge - process improvement - cost reduction and return on investment - orderset

Protection of Human and Animal Subjects

No human subjects were involved in this research. The University of Washington IRB reviewed the project and determined it was exempt.


Contributors' Statement

A.A.W.: conceptualization, data curation, formal analysis, investigation, methodology, project administration, software, writing–original draft, writing–review and editing. B.E.W.: conceptualization, investigation, methodology, validation, writing–original draft, writing–review and editing.




Publication History

Received: 08 December 2025

Accepted after revision: 19 March 2026

Accepted Manuscript online:
23 March 2026

Article published online:
31 March 2026

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