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Meaningful time-related aspects of alerts in Clinical Decision Support Systems. A unified framework

Bernardo Cánovas-Segura, Antonio Morales, José M. Juárez, Manuel Campos

2023Journal of Biomedical Informatics10 citationsDOIOpen Access PDF

Abstract

Alerts are a common functionality of clinical decision support systems (CDSSs). Although they have proven to be useful in clinical practice, the alert burden can lead to alert fatigue and significantly reduce their usability and acceptance. Based on a literature review, we propose a unified framework consisting of a set of meaningful timestamps that allows the use of state-of-the-art measures for alert burden, such as alert dwell time, alert think time, and response time. In addition, it can be used to investigate other measures that could be relevant as regards dealing with this problem. Furthermore, we provide a case study concerning three different types of alerts to which the framework was successfully applied. We consider that our framework can easily be adapted to other CDSSs and that it could be useful for dealing with alert burden measurement thus contributing to its appropriate management.

Topics & Concepts

Computer scienceUsabilityTimestampClinical decision support systemDecision support systemSet (abstract data type)Data scienceData miningHuman–computer interactionComputer securityProgramming languageHealthcare Technology and Patient MonitoringElectronic Health Records SystemsPatient Safety and Medication Errors
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