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Use of Computer Vision to Identify the Frequency and Magnitude of Insulin Syringe Preparation Errors
Ann Cabri1, Berit Bagley2, Kevin Brown3
1UC Davis Medical Center, Sacramento, CA, USA.
Background:
No current technology exists to ensure the dose of insulin administered in hospitals matches the physician order.
Objective:
Assess the feasibility of using computer vision to identify insulin syringe preparation errors.
Methods:
Twenty-two nurses prepared 50 insulin doses (n=1100) each. A computer vision device (CVD) measured the volume drawn up and identified air present. Syringes identified as inaccurate by the CVD were confirmed by two observers, and a random sample of 100 syringes identified as accurate was validated by two independent observers.
Results:
Ten syringes (1.0%) had the wrong volume prepared, and 68 syringes (6.5%) contained air sufficient to meet the definition of inaccuracy. All errors were confirmed by two independent observers.
Conclusion:
CVDs could reduce insulin administration errors in hospitalized patients.
