RWTH Aachen University, Institute for Technology and Innovation Management, Kackerstr. 7, Aachen, 52072, Germany.
University Medicine Essen, Digital Transformation Unit, Hufelandstraße 55, Essen, 45147, Germany.
BMC Health Serv Res. 2024 Nov 18;24(1):1421. doi: 10.1186/s12913-024-11895-z.
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.
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.
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.
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.
人工智能(AI)与其他数字技术一起,正在塑造智慧医院的愿景。然而,由于缺乏财务和人力资源、数字技能以及支持性政策,向智慧医院的转型并非易事。因此,智慧医院的愿景最终将在多大程度上成为现实尚不确定。在这种情况下,我们的研究提供了对 2042 年之前智慧医院近期未来的多维概念化。
本研究采用迭代混合方法,包括专家研讨会和德尔菲研究。我们进行了实时德尔菲研究,以预测 2027 年至 2042 年期间智慧医院的演变,共有 39 名医疗保健、人工智能和管理方面的专家参与。
我们对这项研究中人工智能赋能的智慧医院的理解包括四个维度:人工智能(AI)、可持续性、生态系统和以人为主导。我们的研究结果强调了必须解决模型预测到 2032 年将达到顶峰的医院工作人员和全科医生短缺问题。此外,我们的研究结果还表明,向个体化医学和家庭护理的转变显著。这一转变表明,智慧医院有望利用人工智能和数字技术,为每位患者提供定制化的护理。此外,医院工作人员的角色和职责将发生重大变化。医疗保健人员将不得不适应新技术,这些新技术将促进更高效的工作流程,并改善患者在不断发展的医疗环境中的参与度。我们研究的结果表明,护理将转向个体化医学和家庭护理,医院工作人员的角色和职责也将发生相应变化,他们将采用新技术。
我们的实时德尔菲研究结果表明,在未来 20 年中,智慧医院的愿景正在逐渐成为现实。人工智能的进步应该提高运营效率和以患者为中心的护理水平,同时促进可持续性实践的整合和协作生态系统的发展。然而,解决人员短缺、伦理问题以及对强大数字技能的需求等挑战将是至关重要的。拥有丰富的医疗保健专业知识的专家、明确的伦理准则和强大的数字技能是充分实现这一愿景并确保智慧医院能够满足医疗服务提供不断发展的需求的关键。