• Diem Kieu Tran, Cassie Poole, Evan Tobias, Lisa Moores, Maurice Espinoza, and Jefferson W Chen.
• Department of Neurological Surgery, University of California, Orange, California, USA. Electronic address: ktt967@gmail.com.
• World Neurosurg. 2022 Apr 1; 160: e344-e352.

IntroductionManual pupillary assessments are an integral part of the neurologic evaluation in critically ill patients. Automated pupillometry provides reliable, consistent, and accurate measurement of the light response. We established a computer interface that allows for direct download of pupillometer information to our hospital electronic medical record (EMR). Here, we report our single-center experience.MethodsAn interface allowing direct download of pupillometer data to our EMR was developed. We then performed a prospective study using an electronic survey distributed to nurses that used pupillometers in 2015, 2018, and 2020 using a 5-point Likert-style format to evaluate the acceptance of this implementation.ResultsIn 2015, 22 nurses were surveyed, with 50% of the respondents citing lack of pupillometers and 41% citing the labor intensity associated with data entry as the reason for the reluctance to use the pupillometer. The number of nurse responses in 2018 increased to 123, with 78% of nurses finding that the direct download to hospital EMR improved the efficiency of their neurologic exams. In 2020, 108 nurses responded with similar responses to those in 2018. We added 3 additional questions regarding utility of the pupillometer during the COVID-19 pandemic. Fifty-eight percent of nurses were reassured of the neurologic exam when using the pupillometer in lieu of a full exam to limit infectious exposure.ConclusionsThis is the first report of the implementation of a direct interface to download pupillometer data to the EMR. The positive effect on nursing workflow and documentation of pupillary findings is discussed.Copyright © 2022. Published by Elsevier Inc.

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