Use of artificial intelligence to prevent aggressions against health professionals.

IF 0.6 4区 医学 Q3 MEDICINE, GENERAL & INTERNAL
Antonio J Moreno-Moreno, Juan J García-Iglesias, Juan Gómez-Salgado
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引用次数: 0

Abstract

The alarming rise in assaults against healthcare professionals is a public health and occupational issue that threatens staff well-being and care quality. Violence in this sector includes physical, verbal, and psychological aggression, posing a serious risk. Four main types of workplace violence in healthcare have been identified: External violence with no prior relationship (Type I), violence by patients against professionals (Type II, the most frequent), internal or institutional violence (Type III), and personal violence (Type IV). This issue is global, with an increasing trend and significant underreporting. Its consequences are severe at multiple levels: individually (burnout, anxiety, depression), institutionally (absenteeism, staff turnover), and in patient care quality. Artificial intelligence (AI) has emerged as a promising tool to prevent and mitigate such violence. Its applications include surveillance and monitoring systems, enhanced communication between staff and patients, workflow optimization, staff training, and predictive analysis of potentially aggressive patients. However, AI implementation presents ethical challenges related to data protection, privacy, bias risks, prediction reliability, and potential dehumanization. Addressing these concerns is crucial to ensuring safe and equitable AI use, always under human supervision. Effective prevention requires a comprehensive approach that integrates technology with organizational and educational measures.

使用人工智能来防止对卫生专业人员的攻击。
针对保健专业人员的袭击事件令人震惊地增加,这是一个公共卫生和职业问题,威胁到工作人员的福祉和护理质量。这一领域的暴力包括身体、语言和心理攻击,构成严重风险。已经确定了医疗保健工作场所暴力的四种主要类型:没有先前关系的外部暴力(第一类)、患者对专业人员的暴力(第二类,最常见)、内部或机构暴力(第三类)和个人暴力(第四类)。这个问题是全球性的,有日益增加的趋势和严重的漏报。其后果在多个层面上都很严重:个人(倦怠、焦虑、抑郁)、机构(缺勤、员工离职)以及患者护理质量。人工智能(AI)已成为预防和减轻此类暴力的有前途的工具。它的应用包括监视和监测系统、加强医护人员和患者之间的沟通、优化工作流程、员工培训以及对潜在攻击性患者的预测分析。然而,人工智能的实施带来了与数据保护、隐私、偏见风险、预测可靠性和潜在的非人性化相关的伦理挑战。解决这些问题对于确保始终在人类监督下安全、公平地使用人工智能至关重要。有效预防需要采取综合办法,将技术与组织和教育措施结合起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Gaceta medica de Mexico
Gaceta medica de Mexico 医学-医学:内科
CiteScore
1.00
自引率
0.00%
发文量
216
审稿时长
6-12 weeks
期刊介绍: Gaceta Médica de México México is the official scientific journal of the Academia Nacional de Medicina de México, A.C. Its goal is to contribute to health professionals by publishing the most relevant progress both in research and clinical practice. Gaceta Médica de México is a bimonthly peer reviewed journal, published both in paper and online in open access, both in Spanish and English. It has a brilliant editorial board formed by national and international experts.
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