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Meaningful time-related aspects of alerts in Clinical Decision Support Systems. A unified framework.
Cánovas-Segura, Bernardo; Morales, Antonio; Juarez, Jose M; Campos, Manuel.
Afiliação
  • Cánovas-Segura B; AIKE Research Group (INTICO), University of Murcia, Murcia, Spain. Electronic address: bernardocs@um.es.
  • Morales A; AIKE Research Group (INTICO), University of Murcia, Murcia, Spain. Electronic address: morales@um.es.
  • Juarez JM; AIKE Research Group (INTICO), University of Murcia, Murcia, Spain. Electronic address: jmjuarez@um.es.
  • Campos M; AIKE Research Group (INTICO), University of Murcia, Murcia, Spain; Murcian Bio-Health Institute (IMIB-Arrixaca), Murcia, Spain. Electronic address: manuelcampos@um.es.
J Biomed Inform ; 143: 104397, 2023 07.
Article em En | MEDLINE | ID: mdl-37245656
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistemas de Apoio a Decisões Clínicas / Sistemas de Registro de Ordens Médicas Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistemas de Apoio a Decisões Clínicas / Sistemas de Registro de Ordens Médicas Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article