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Predicting violence in the intensive care unit: Can artificial intelligence protect those who care?
Editorial   Peer reviewed

Predicting violence in the intensive care unit: Can artificial intelligence protect those who care?

Gideon Johnson, Amanda Towell-Barnard and Bev Ewens
Intensive and Critical Care Nursing, Vol.89, 104054
2025

Abstract

Healthcare workers in intensive care units (ICU) deliver life-saving interventions whilst working under pressure. Added to this pressure is an often under-reported threat of workplace violence (WPV) [1]. WPV refers to any act or threat involving physical harm, harassment, intimidation, or other menacing behaviour that takes place in a work environment [2]. It can cause both physical and psychological harm, making it a risk to the health and safety of the clinician and can compromise the quality of clinical care [3]. WPV is directly associated with an increased incidence of decreased patient safety, burnout, and post-traumatic stress [4]. There is a lack of reliable instruments to predict when a patient or a visitor may become violent [5], leaving ICU clinicians particularly vulnerable to sudden and unexpected aggression...

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Collaboration types
Domestic collaboration
International collaboration
Citation topics
1 Clinical & Life Sciences
1.155 Medical Ethics
1.155.2774 Artificial Intelligence in Healthcare and Medicine
Web Of Science research areas
Critical Care Medicine
Nursing
ESI research areas
Clinical Medicine
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