McKee Martin, Correia Tiago
Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, UK.
Associate Laboratory in Translation and Innovation Towards Global Health, LA-REAL, Global Health and TropicalMedicine, GHTM, Instituto de Higiene e Medicina Tropical, IHMT, Universidade Nova de Lisboa, UNL, Lisbon, Portugal.
Int J Health Plann Manage. 2025 Mar;40(2):289-292. doi: 10.1002/hpm.3865. Epub 2024 Nov 4.
The healthcare sector is undergoing significant transformation driven by workforce shortages, role imbalances, and technological advances. Traditional health professions, characterised by advanced knowledge and self-regulation, face challenges from two key trends. First, there is a growing reliance on less-trained workers, such as nursing assistants and physician associates, to fill gaps, raising concerns about patient safety and the quality of care. While these roles can assist in simpler tasks, their expanded responsibilities-often exceeding their training-can lead to adverse outcomes, particularly in critical medical scenarios. Second, the rise of automation and artificial intelligence (AI) offers both opportunities and risks. While AI shows promise in reducing administrative burdens and aiding specialized tasks like image recognition, its limitations hinder its broader adoption, such as reinforcing biases and failing to reason diagnostically. This editorial argues that uncritical reliance on these developments risks compromising healthcare quality. It calls for evidence-based policymaking, robust oversight, and updated regulatory frameworks to ensure patient safety while adapting to these shifts. Getting the right balance between maintaining professional autonomy and integrating new roles and technologies is critical for building resilient healthcare systems capable of responding to future challenges.
医疗保健行业正在经历重大变革,这是由劳动力短缺、角色失衡和技术进步所驱动的。以先进知识和自我监管为特征的传统卫生职业面临着来自两个关键趋势的挑战。首先,越来越依赖训练不足的工作人员,如护理助理和医师助理,来填补空缺,这引发了对患者安全和护理质量的担忧。虽然这些角色可以协助完成较简单的任务,但他们扩大后的职责——往往超出了他们的培训范围——可能会导致不良后果,尤其是在危急医疗情况下。其次,自动化和人工智能(AI)的兴起既带来了机遇,也带来了风险。虽然人工智能在减轻行政负担和辅助图像识别等专业任务方面显示出前景,但其局限性阻碍了其更广泛的应用,比如强化偏见和无法进行诊断推理。这篇社论认为,不加批判地依赖这些发展有可能损害医疗保健质量。它呼吁制定基于证据的政策、加强监督以及更新监管框架,以确保患者安全,同时适应这些转变。在保持专业自主性与整合新角色和技术之间取得恰当平衡,对于构建能够应对未来挑战具有韧性的医疗保健系统至关重要。