人工智能效率悖论:在优化时代,回收优质患者护理
1Department of Medical Education, Geisinger Commonwealth School of Medicine, Scranton, PA, USA. jburwell1@som.geisinger.edu.
Journal of medical systems
|April 16, 2025
概括
医疗保健中的人工智能 (AI) 可能会导致"效率悖论",增加工作量尽管旨在减少工作量. 优先考虑人工智能效率而不是患者互动,危及护理质量,需要一个平衡的采用框架.
科学领域:
- 医疗保健技术 医疗保健技术 医疗保健技术
- 医疗信息学医学信息学
- 人工智能应用的人工智能应用.
背景情况:
- 检查人工智能 (AI) 在医疗保健环境中的整合.
- 识别"效率悖论"的潜力,即人工智能增加而不是减少工作量.
- 突出技术效率与患者护理质量之间的紧张关系.
研究的目的:
- 分析人工智能在医疗保健中整合的"效率悖论"的潜力.
- 研究如何在AI实施中优先考虑效率指标可能会对患者护理质量产生负面影响.
- 提出一个评估人工智能采用的框架,以平衡技术效益与医生与患者关系的维护.
主要方法:
- 在临床工作流程中整合AI的概念分析.
- 审查现有的关于医疗保健技术采用及其对医疗保健质量影响的文献.
- 开发一个理论框架来评估人工智能实施战略.
主要成果:
- 人工智能集成可能导致"效率悖论",即预期的工作量减少导致新的低效率.
- 在人工智能部署中过度强调效率指标可能会妨碍有意义的医生与患者的互动,可能会降低护理质量.
- 拟议的框架提供了一种评估人工智能采用的方法,考虑技术优化和医生与患者关系的维护.
结论:
- 在医疗保健中采用人工智能是一个复杂的挑战,平衡潜在的效率增长与对护理质量的风险.
- 人工智能的战略实施必须考虑人类因素,特别是医生与患者的动态,以避免意外的负面后果.
- 均衡的评估框架对于将人工智能负责任有效地整合到医疗保健环境中至关重要.
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