未来的医院管理:人工智能应用场景及其挑战  

The future of hospital management:artificial intelligence application scenarios and their challenges

在线阅读下载全文

作  者:文进[1] 李鸿浩[1] WEN Jin;LI Honghao(Institute of Hospital Management,West China Hospital,Sichuan University,Chengdu,Sichuan 610041,P.R.China)

机构地区:[1]四川大学华西医院医院管理研究所,成都610041

出  处:《华西医学》2024年第12期1837-1841,共5页West China Medical Journal

基  金:国家社科重大项目(24&ZD166)。

摘  要:随着人工智能(artificial intelligence,AI)技术的快速发展,其在医院管理中的应用正逐渐成为提升运营效率和患者医疗护理质量的重要手段。该文系统探讨了AI在医院管理中的多维度应用,包括医疗服务、行政管理、患者参与和体验等。通过深入分析,该文评估了AI在这些领域中的潜力,特别是在提高运营效率和优化患者医护服务方面的效果。然而,AI的应用也面临诸多挑战,如数据隐私问题、算法偏差、运营管理和经济因素等。该文不仅指出了这些挑战,还为我国医院管理提供了具体的变革行动建议,强调了适应性和持续学习的重要性,并呼吁医院管理者积极拥抱变革,以实现患者健康效果和运营效率的双重提升。With the rapid development of artificial intelligence(AI)technology,its application in hospital management is gradually becoming an important means to improve operational efficiency and the quality of patient health care.This article systematically explores the multidimensional applications of AI in hospital management,including medical services,administration,patient engagement and experience.Through in-depth analysis,the paper evaluates the potential of AI in these areas,especially the significant effect in improving operational efficiency and optimising patient healthcare services.However,the application of AI also faces many challenges,such as data privacy issues,algorithmic bias,operational management,and economic factors.This article not only identifies these challenges,but also provides specific inspiration and recommendations for hospital management in China,emphasises the importance of adaptability and continuous learning,and calls on hospital administrators to actively embrace change in order to achieve both improved patient health outcomes and operational efficiency.

关 键 词:人工智能 医院管理 资源配置 运行效率 患者权益 医学伦理 领导力 

分 类 号:R197.32[医药卫生—卫生事业管理]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象