Yale University School of Medicine, New Haven, Connecticut, USA
Yale University School of Medicine, New Haven, Connecticut, USA.
BMJ Health Care Inform. 2024 Aug 24;31(1):e101120. doi: 10.1136/bmjhci-2024-101120.
Burnout and workforce attrition present pressing global challenges in healthcare, severely impacting the quality of patient care and the sustainability of health systems worldwide. Artificial intelligence (AI) has immense potential to reduce the administrative and cognitive burdens that contribute to burnout through innovative solutions such as digital scribes, automated billing and advanced data management systems. However, these innovations also carry significant risks, including potential job displacement, increased complexity of medical information and cases, and the danger of diminishing clinical skills. To fully leverage AI's potential in healthcare, it is essential to prioritise AI technologies that align with stakeholder values and emphasise efforts to re-humanise medical practice. By doing so, AI can contribute to restoring a sense of purpose, fulfilment and efficacy among healthcare workers, reinforcing their essential role as caregivers, rather than distancing them from these core professional attributes.
burnout 和劳动力流失是全球医疗保健领域面临的紧迫挑战,严重影响了患者护理的质量和全球卫生系统的可持续性。人工智能 (AI) 具有巨大的潜力,可以通过创新的解决方案,如数字抄写员、自动化计费和先进的数据管理系统,减轻导致 burnout 的行政和认知负担。然而,这些创新也带来了重大风险,包括潜在的工作岗位流失、医疗信息和病例的复杂性增加,以及临床技能下降的危险。要充分发挥人工智能在医疗保健中的潜力,就必须优先考虑符合利益相关者价值观的人工智能技术,并强调努力使医疗实践重新人性化。通过这样做,人工智能可以帮助恢复医疗工作者的使命感、成就感和效力,加强他们作为护理人员的核心作用,而不是使他们远离这些核心专业属性。