Pattern discovery in critical alarms originating from neonates under intensive care

Rohan Joshi, Carola van Pul, Louis Atallah, Loe Feijs, Sabine Van Huffel, Peter Andriessen
2016 Physiological Measurement  
Patient monitoring generates a large number of alarms, the vast majority of which are false. Excessive non-actionable medical alarms lead to alarm fatigue, a well-recognized patient safety issue. While multiple approaches to reduce alarm fatigue have been explored, patterns in alarming and inter-alarm relationships, as they manifest in the clinical workspace, are largely a blackbox and hamper research efforts towards reducing alarms. The aim of this study is to detect opportunities to safely
more » ... uce alarm pressure, by developing techniques to identify, capture and visualize patterns in alarms. Nearly 500 000 critical medical alarms were acquired from a neonatal intensive care unit over a 20 month period. Heuristic techniques were developed to extract the inter-alarm relationships. These included identifying the presence of alarm-clusters, patterns of transition from one alarm category to another, temporal associations amongst alarms and determination of prevalent sequences in which alarms manifest. Desaturation, bradycardia and apnea constituted 86% of all alarms and demonstrated distinctive periodic increases in the number of alarms that were Institute of Physics and Engineering in Medicine JNL:PMEA PIPS: AA166A TYPE: PAP TS: NEWGEN DATE:13/2/16 EDITOR: IOP SPELLING: UK 0967-3334/16/000000+16$33.00 © 2016 Institute of Physics and Engineering in Medicine Printed in the UK UNCORRECTED PROOF Physiol. Meas. 00 (2016) 1-16 2 synchronized with nursing care and enteral feeding. By inhibiting further alarms of a category for a short duration of time (30 s/60 s), non-actionable physiological alarms could be reduced by 20%. The patterns of transition from one alarm category to another and the time duration between such transitions revealed the presence of close temporal associations and multiparametric derangement. Examination of the prevalent alarm sequences reveals that while many sequences comprised of multiple alarms, nearly 65% of the sequences were isolated instances of alarms and are potentially irreducible. Patterns in alarming, as they manifest in the clinical workspace were identified and visualized. This information can be exploited to investigate strategies for reducing alarms.
doi:10.1088/0967-3334/37/4/564 pmid:27027383 fatcat:re7wyf5kuzg2pmglfvlyhwusgi