预测智能医院的未来:一项实时德尔菲研究的结果。

IF 2.7 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Florian Jovy-Klein, Susan Stead, Torsten Oliver Salge, Jil Sander, Anke Diehl, David Antons
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引用次数: 0

摘要

背景:人工智能(AI)与其他数字技术相结合,正在塑造智能医院的愿景。然而,由于缺乏财力和人力资源、数字技术和支持政策,向智能医院的转型显得微不足道。因此,智慧医院的愿景最终能在多大程度上成为现实还不确定。在此背景下,我们的研究对 2042 年之前智能医院的近期前景进行了多维度的构思:本研究采用迭代混合方法,包括专家研讨会和德尔菲研究。我们开展了一项实时德尔菲研究,以预测智能医院从 2027 年到 2042 年每 5 年的发展变化。共有 39 位医疗保健、人工智能和管理方面的专家参与了这项研究:在这项研究中,我们对技术驱动型智慧医院的理解包括四个方面:人工智能(AI)、可持续性、生态系统和以人为本。我们的研究结果强调了解决医院员工和全科医生短缺问题的迫切需要,根据模型预测,到2032年,这一问题将达到顶峰。此外,我们的研究结果表明,个性化医疗和家庭护理将发生重大转变。这一转变表明,智能医院有望利用人工智能和数字技术为每位患者量身定制医疗服务。此外,医院员工的角色和职责也将发生重大变化。医护人员必须适应新技术,以促进更高效的工作流程,并在不断发展的医疗环境中提高患者参与度。我们的研究结果表明,医疗服务将向个性化医疗和家庭护理转变,而医院员工的角色和职责也将发生相应的变化,他们将采用新技术:我们的实时德尔菲研究结果表明,智能医院的愿景将在未来 20 年内逐步变为现实。人工智能的进步应能提高运营效率和以患者为中心的医疗服务,同时促进可持续发展实践的整合和合作生态系统的发展。然而,应对人员短缺、伦理考虑以及对强大数字技能的需求等挑战将至关重要。要充分实现这一愿景,并确保智慧医院能够满足不断发展的医疗服务需求,就必须要有大量的专业医疗从业人员、明确的道德准则和强大的数字技能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forecasting the future of smart hospitals: findings from a real-time delphi study.

Background: In concert with other digital technologies, artificial intelligence (AI) is shaping the vision of smart hospitals. The transformation into smart hospitals, however, is all but trivial due to the lack of financial and human resources, digital skills, and supporting policies. Thus, the extent to which the vision of smart hospitals will eventually become reality is uncertain. In this context, our study provides a multidimensional conceptualization of the immediate future of smart hospitals to 2042.

Methods: This study employs an iterative mixed-methods approach, including expert workshops and a Delphi study. We conducted a real-time Delphi study to forecast the evolution of smart hospitals in 5-year steps from 2027 to 2042. A total of 39 experts in healthcare, artificial intelligence, and management participated.

Results: Our understanding of a technology-enabled smart hospital in this study includes four dimensions: artificial intelligence (AI), sustainability, ecosystems, and human-centeredness. Our findings underscore the critical need to address the shortage of hospital staff and general practitioners that models predict will peak by 2032. Additionally, our results show a significant shift to individualized medicine and home care. This shift indicates that smart hospitals are expected to leverage AI and digital technologies to tailor care to each patient. Furthermore, the roles and responsibilities of hospital staff will undergo significant changes. Healthcare personnel will have to adapt to new technologies that facilitate more efficient workflows and improve patient engagement in evolving healthcare environments. The results of our study suggest a shift in care to individualized medicine and home care, with corresponding changes in the roles and responsibilities of hospital staff who will employ new technologies.

Conclusions: The findings from our real-time Delphi study suggest that the vision of smart hospitals is gradually becoming reality over the next 20 years. Advancements in artificial intelligence should enhance operational efficiency and patient-centric care, while facilitating the integration of sustainability practices and fostering collaborative ecosystems. However, addressing challenges such as staff shortages, ethical considerations, and the need for robust digital skills will be essential. A deep pool of expert healthcare practitioners, clear ethical guidelines, and robust digital skills are essential to fully realize this vision and ensure that smart hospitals can meet the evolving needs of healthcare delivery.

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来源期刊
BMC Health Services Research
BMC Health Services Research 医学-卫生保健
CiteScore
4.40
自引率
7.10%
发文量
1372
审稿时长
6 months
期刊介绍: BMC Health Services Research is an open access, peer-reviewed journal that considers articles on all aspects of health services research, including delivery of care, management of health services, assessment of healthcare needs, measurement of outcomes, allocation of healthcare resources, evaluation of different health markets and health services organizations, international comparative analysis of health systems, health economics and the impact of health policies and regulations.
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