Evidence map›Paper›PMID 41529102›Full record

ArticleJournal of neurosurgical anesthesiology2026

Workflow, Alarm Notification and Technology Acceptance of Continuous, Wearable-Based Vital Sign Monitoring on A Neurosurgical Ward-A Pilot Feasibility Study.

Joan Alsolivany, Lina Mosch, Lars Wessels, Laura Hallek, Tarik Alp Sargut, Claudia Spies, Peter Vajkoczy, Felix Balzer, Akira Poncette, Nils Hecht

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Article in Journal of neurosurgical anesthesiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Joan AlsolivanyDepartment of Neurosurgery.
Lina MoschDepartment of Anesthesiology and Operative Intensive Care, and.
Lars WesselsDepartment of Neurosurgery.
Laura HallekDepartment of Neurosurgery.
Tarik Alp SargutDepartment of Neurosurgery.
Claudia SpiesDepartment of Anesthesiology and Operative Intensive Care, and.
Peter VajkoczyDepartment of Neurosurgery.
Felix BalzerInstitute for Medical Informatics, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Akira PoncetteDepartment of Anesthesiology and Operative Intensive Care, and.
Nils HechtDepartment of Neurosurgery.ORCID 0000-0001-9989-649

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundContinuous, wearable-based vital sign monitoring can enhance patient safety and reduce intensive care demands but is not routinely used on standard neurosurgical wards. This study assessed alarm events and technology acceptance during the implementation of such a system for postoperative patients in a university hospital's neurosurgical ward.

methodsIn this pilot feasibility study, selected patients were continuously monitored for 12 to 24 hours after elective neurosurgery on a 44-bed ward. Phase 1 (June to December 2019) used 12 mobile units with manual alarm documentation; Phase 2 (August 2023 to January 2024) used 44 fixed bedside units with automatic documentation. Alarm patterns and nurse-rated technology acceptance (4-point Likert scale) were analyzed.

resultsVital signs were monitored in 214 patients (median age: 58, IQR: 42 to 70) in Phase 1 and 290 patients (median age: 60, IQR: 43 to 77) in Phase 2. Procedures included cranial, spinal, and peripheral nerve surgeries. Phase 1 recorded 30 nonclinical alarms and no clinical alarms. In contrast, Phase 2 registered 14,500 clinical and 185,744 nonclinical alarms, mostly from detached sensors (177,989/185,744; 96%). Clinical alarms were mainly due to hypoxia (8305/14,500; 57%) and tachycardia (3487/14,500; 30%). Most alarms were acknowledged within 30 seconds (clinical: 12,969/14,500; 90% and nonclinical: 181,447/185,744; 98%), with delayed responses mostly for nonclinical events (3625/4189; 87%). Nurses reported improved convenience, usability, and system connection in Phase 2.

conclusionsWearable-based vital sign monitoring is feasible on neurosurgical wards, but high nonclinical alarm rates highlight the need to refine alarm management strategies for effective clinical integration.

Indexed as

Clinical AlarmsNeurosurgical ProceduresVital SignsWearable Electronic DevicesWorkflowAdultAgedFeasibility StudiesFemaleHumansMaleMiddle AgedMonitoring, PhysiologicPilot Projectscritical eventselective neurosurgerypostoperative complicationsregular wardwearable-based vital sign monitoring

Identifiers

PMID41529102
PMCPMC12952484

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.