University of Texas Health Science Center at Houston, TX, USA.
George Mason University, VA, USA.
Stud Health Technol Inform. 2024 Aug 22;316:1250-1254. doi: 10.3233/SHTI240638.
Ensuring patient safety in healthcare involves training professionals and implementing clinical decision support systems (CDSS) and health IT solutions to reduce errors and adverse events. The integration of artificial intelligence (AI) into health IT has revolutionized clinical settings by enabling real-time insights and personalized recommendations. However, the use of health IT can lead to unintended consequences that are not adequately addressed during training and implementation. These consequences can hinder the maximization of benefits and limit equitable access to healthcare. In this paper, we explore the impact of AI on CDSS and health IT, discuss the challenges in educating clinical informaticians, and aim to promote patient safety through collaboration with practitioners, researchers, and educators.
确保医疗保健中的患者安全需要培训专业人员，并实施临床决策支持系统 (CDSS) 和医疗信息技术解决方案，以减少错误和不良事件。人工智能 (AI) 与医疗信息技术的整合通过实现实时洞察和个性化建议，彻底改变了临床环境。然而，医疗信息技术的使用可能会导致在培训和实施过程中没有充分解决的意外后果。这些后果可能会阻碍利益最大化，并限制公平获得医疗保健的机会。在本文中，我们探讨了人工智能对 CDSS 和医疗信息技术的影响，讨论了教育临床信息学家方面的挑战，并旨在通过与从业者、研究人员和教育工作者合作来促进患者安全。
