Forecasting the future of smart hospitals: findings from a real-time delphi study
Abstract 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,...
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BMC
2024-11-01
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| Series: | BMC Health Services Research |
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| Online Access: | https://doi.org/10.1186/s12913-024-11895-z |
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| author | Florian Jovy-Klein Susan Stead Torsten Oliver Salge Jil Sander Anke Diehl David Antons |
| author_facet | Florian Jovy-Klein Susan Stead Torsten Oliver Salge Jil Sander Anke Diehl David Antons |
| author_sort | Florian Jovy-Klein |
| collection | DOAJ |
| description | Abstract 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. |
| format | Article |
| id | doaj-art-5808d948632645ed8bfc0233c6d06c2b |
| institution | OA Journals |
| issn | 1472-6963 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Health Services Research |
| spelling | doaj-art-5808d948632645ed8bfc0233c6d06c2b2025-08-20T02:22:20ZengBMCBMC Health Services Research1472-69632024-11-0124112110.1186/s12913-024-11895-zForecasting the future of smart hospitals: findings from a real-time delphi studyFlorian Jovy-Klein0Susan Stead1Torsten Oliver Salge2Jil Sander3Anke Diehl4David Antons5RWTH Aachen University, Institute for Technology and Innovation ManagementRWTH Aachen University, Institute for Technology and Innovation ManagementRWTH Aachen University, Institute for Technology and Innovation ManagementUniversity Medicine Essen, Digital Transformation UnitUniversity Medicine Essen, Digital Transformation UnitInstitute for Entrepreneurship, University of BonnAbstract 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.https://doi.org/10.1186/s12913-024-11895-zSmart hospitalForecastingReal-time DelphiArtificial IntelligenceHuman-centerednessEcosystems |
| spellingShingle | Florian Jovy-Klein Susan Stead Torsten Oliver Salge Jil Sander Anke Diehl David Antons Forecasting the future of smart hospitals: findings from a real-time delphi study BMC Health Services Research Smart hospital Forecasting Real-time Delphi Artificial Intelligence Human-centeredness Ecosystems |
| title | Forecasting the future of smart hospitals: findings from a real-time delphi study |
| title_full | Forecasting the future of smart hospitals: findings from a real-time delphi study |
| title_fullStr | Forecasting the future of smart hospitals: findings from a real-time delphi study |
| title_full_unstemmed | Forecasting the future of smart hospitals: findings from a real-time delphi study |
| title_short | Forecasting the future of smart hospitals: findings from a real-time delphi study |
| title_sort | forecasting the future of smart hospitals findings from a real time delphi study |
| topic | Smart hospital Forecasting Real-time Delphi Artificial Intelligence Human-centeredness Ecosystems |
| url | https://doi.org/10.1186/s12913-024-11895-z |
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