Mani Zakaria, Albagawi Bander
Nursing Department, Jazan University, Jazan, Saudi Arabia.
Medical Surgical Department, College of Nursing, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia.
Front Public Health. 2024 Dec 11;12:1439412. doi: 10.3389/fpubh.2024.1439412. eCollection 2024.
This scoping review explores the utilization of artificial intelligence in emergency nursing, assessing its impact, potential benefits, and the obstacles faced in its adoption. It covers the scope of AI from advanced triage protocols to continuous monitoring of patients, assistance in diagnosis, and providing support for clinical decisions. The review notes that AI in emergency healthcare can lead to more efficient care and timely, data-driven actions, but also highlights significant issues such as safeguarding patient data, the necessity for dependable infrastructure, and concerns over discriminatory algorithms. The promise of AI in improving emergency healthcare practices and patient care is clear, yet the identified challenges must be carefully navigated to promote safe and ethical use. Further empirical research is called for to confirm the effectiveness of AI applications in the dynamic environment of emergency care setups.
本综述探讨了人工智能在急诊护理中的应用，评估其影响、潜在益处以及采用过程中面临的障碍。它涵盖了人工智能的应用范围，从先进的分诊协议到患者的持续监测、诊断辅助以及为临床决策提供支持。该综述指出，急诊医疗中的人工智能可以带来更高效的护理以及及时、基于数据的行动，但也突出了一些重大问题，如保护患者数据、可靠基础设施的必要性以及对歧视性算法的担忧。人工智能在改善急诊医疗实践和患者护理方面的前景是明确的，但必须谨慎应对已识别的挑战，以促进安全和道德的使用。需要进一步的实证研究来证实人工智能应用在急诊护理动态环境中的有效性。
