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Alarm fatigue; Clinical deterioration; Code blue; Event prediction; Maximal frequent itemsets mining; Monitor alarm
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Integrating Monitor Alarms With Laboratory Test Results To Enhance Patient Deterioration Prediction, Yong Bai, Duc H. Do, Patricia Harris, Daniel Schindler, Noel G. Boyle, Barbara J. Drew, Xiao Hu
Integrating Monitor Alarms With Laboratory Test Results To Enhance Patient Deterioration Prediction, Yong Bai, Duc H. Do, Patricia Harris, Daniel Schindler, Noel G. Boyle, Barbara J. Drew, Xiao Hu
Patricia Harris
Patient monitors in modern hospitals have become ubiquitous but they generate an excessive number of false alarms causing alarm fatigue. Our previous work showed that combinations of frequently co-occurring monitor alarms, called SuperAlarm patterns, were capable of predicting in-hospital code blue events at a lower alarm frequency. In the present study, we extend the conceptual domain of a SuperAlarm to incorporate laboratory test results along with monitor alarms so as to build an integrated data set to mine SuperAlarm patterns. We propose two approaches to integrate monitor alarms with laboratory test results and use a maximal frequent itemsets mining algorithm …