Analysis of a data-fusion system for continuous vital sign monitoring in an XXXX .

@entity1 @entity854 @entity341 @entity1619
OBJECTIVE: The aim of the study was to evaluate the ability of a data-fusion @entity1 status index (PSI) to detect @entity1 deterioration in the @entity341 ( @entity341 ) in comparison with track-and-trigger (T_T). MATERIALS AND METHODS: A single-centre observational cohort study was conducted in a medium-sized teaching hospital @entity341 . Vital sign data and any documented T_T scores ( @entity1619 ) were collected from adults attending the resuscitation room, majors or observation ward. For each set of vital signs, we retrospectively calculated T_T (eT_T). PSI was calculated retrospectively from the continuous vital sign data using a statistical model of normality. Clinical notes were examined to identify 'escalation' events, and the numbers of these escalations identified by @entity1619 , eT_T and PSI were retrospectively calculated. RESULTS: Data from 472 @entity1 episodes were examined. A total of 20 @entity1 had PSI data at the time of an escalation related to @entity854 that occurred during their @entity341 stay (vs. on arrival). Only four @entity1 events were detected at the time by @entity1619 . In all, 17 were detected retrospectively by eT_T and 15 by PSI. PSI had a calculated false-alert rate of 1.13   alerts/bed-day. CONCLUSION: Electronic data capture offers opportunities for increased detection of deteriorating @entity1 in a busy clinical environment compared with paper charts. Sample size in this study is insufficient to determine which electronic method (eT_T or PSI) offers superior detection of the need for escalation.
