2022
DOI: 10.3389/fbioe.2022.895973
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Outcomes of Vital Sign Monitoring of an Acute Surgical Cohort With Wearable Sensors and Digital Alerting Systems: A Pragmatically Designed Cohort Study and Propensity-Matched Analysis

Abstract: Background: The implementation and efficacy of wearable sensors and alerting systems in acute secondary care have been poorly described.Objectives: to pragmatically test one such system and its influence on clinical outcomes in an acute surgical cohort.Methods: In this pragmatically designed, pre-post implementation trial, participants admitted to the acute surgical unit at our institution were recruited. In the pre-implementation phase (September 2017 to May 2019), the SensiumVitals™ monitoring system, which … Show more

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Cited by 6 publications
(6 citation statements)
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“…Key barriers relating to system use and environment included poor training and the burden of data, particularly with continuous remote monitoring of vital signs. These data may not always be clinically meaningful or because of poor resourcing may not be acknowledged appropriately, generating additional work for existing staff, who are already overburdened [ 14 , 43 ]. Previously, this unincentivized workflow change led to poor response times to alerts generated through alerting systems in an acute surgical ward [ 14 ].…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations
“…Key barriers relating to system use and environment included poor training and the burden of data, particularly with continuous remote monitoring of vital signs. These data may not always be clinically meaningful or because of poor resourcing may not be acknowledged appropriately, generating additional work for existing staff, who are already overburdened [ 14 , 43 ]. Previously, this unincentivized workflow change led to poor response times to alerts generated through alerting systems in an acute surgical ward [ 14 ].…”
Section: Discussionmentioning
confidence: 99%
“…These data may not always be clinically meaningful or because of poor resourcing may not be acknowledged appropriately, generating additional work for existing staff, who are already overburdened [ 14 , 43 ]. Previously, this unincentivized workflow change led to poor response times to alerts generated through alerting systems in an acute surgical ward [ 14 ]. In this study, 36% (4/11) of respondents to the modified TAM questionnaire were unsure whether allied health care professionals would welcome virtual wards ( Figure 3 ).…”
Section: Discussionmentioning
confidence: 99%
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“…Digital phenotypes are being created for patient monitoring through early warning systems and mobile phone sensors. This data improves early management decisions by refining algorithms [28][29][30][31]. AI analysis needs a massive amount of data.…”
Section: Ai In Spine Surgerymentioning
confidence: 99%