AMIA Annu Symp Proc - Evaluating the effectiveness of clinical alerts: a signal detection approach.

Tópicos

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Resumo

Clinical alerts are widely used in healthcare to notify caregivers of critical information. Alerts can be presented through many different modalities, including verbal, paper and electronic. Increasingly, information technology is being used to automate alerts. Most applications, however, fall short in achieving the desired outcome. The objective of this study is twofold. First, we examine the effectiveness of verbal and written alerts in promoting adherence to infection control precautions during inpatient transfers to radiology. Second, we propose a quantitative framework based on Signal Detection Theory (SDT) for evaluating the effectiveness of clinical alerts. Our analysis shows that verbal alerts are much more effective than written alerts. Further, using precaution alerts as a case study, we demonstrate the application of SDT to evaluate the quality of alerts, and human behavior in handling alerts. We hypothesize that such technique can improve our understanding of computerized alert systems, and guide system redesign.

Resumo Limpo

clinic alert wide use healthcar notifi caregiv critic inform alert can present mani differ modal includ verbal paper electron increas inform technolog use autom alert applic howev fall short achiev desir outcom object studi twofold first examin effect verbal written alert promot adher infect control precaut inpati transfer radiolog second propos quantit framework base signal detect theori sdt evalu effect clinic alert analysi show verbal alert much effect written alert use precaut alert case studi demonstr applic sdt evalu qualiti alert human behavior handl alert hypothes techniqu can improv understand computer alert system guid system redesign

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