Abstract
In March 2023, the five-year AI Hospital Program in Japan was completed. Various AI-applications have been implemented in four model AI Hospitals. This paper contains the results of a multiple use case analysis of an AI Hospital using the AIDAF and the intelligence amplification design canvas. The aim of this research paper is two-fold to: 1) evaluate the utility of the AIDAF and intelligence amplification design canvas to analyse implemented AI-applications, and 2) conduct a multiple use case analysis in an AI Hospital. A focus group was created and developed a three-step process to analyse nine use cases and related AI-applications that have been implemented at Keio University Hospital using the AIDAF and intelligence amplification design canvas. First, each use case was analysed using the four guiding principles of the intelligence amplification design canvas. Second, conceptual representations were created for each use case. Third, an aggregated view of the AI Hospital was created. The results and findings were discussed in five focus group meetings. This study provides empirical support that the AIDAF and the intelligence amplification design canvas can effectively support the individual analysis of implemented AI-applications as well as conducting a multiple use case analysis. As such, this study provided insight in the current state of the AI Hospital and identified opportunities for extensions and future development in the second term of the AI Hospital Program and Open Healthcare Platform 2030 consortium. The current study was mainly based on qualitative analysis and comparison implemented AI-applications within a single organization and did not include in-depth user research. Future research may contribute to the analysis of similar use cases in other (AI-)hospitals to conduct a cross use case analysis.
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References
Cabinet Office (2023). Society 5.0. https://www8.cao.go.jp/cstp/english/society5_0/index.html
Cabinet Office (2023). Examples of Creating New Value in the Fields of Healthcare and Caregiving (Society 5.0). https://www8.cao.go.jp/cstp/english/society5_0/medical_e.html
Jiang, F., Jiang, Y., Zhi, H., et al.: Artificial intelligence in healthcare: past, present and future. Stroke Vasc. Neurol. (2017). https://doi.org/10.1136/svn-2017-000101
Yu, K.H., Beam, A.L., Kohane, I.S.: Artificial intelligence in healthcare. Nat. Biomed. Eng. 2, 719–731 (2018). https://doi.org/10.1038/s41551-018-0305-z
Rong, G., Mendez, A., Bou Assi, E., Zhao, B., Sawan, M.: Artificial intelligence in healthcare: review and prediction case studies. Engineering 6(3), 291–301 (2020). https://doi.org/10.1016/j.eng.2019.08.015. ISSN 2095-8099
Lee, D., Yoon, S.N.: Application of artificial intelligence-based technologies in the healthcare industry: opportunities and challenges. Int. J. Environ. Res. Public Health 18(1), 271 (2021). https://doi.org/10.3390/ijerph18010271
Rajpurkar, P., Chen, E., Banerjee, O., et al.: AI in health and medicine. Nat. Med. 28, 31–38 (2022). https://doi.org/10.1038/s41591-021-01614-0
Thayyib, P.V., et al.: State-of-the-art of artificial intelligence and big data analytics reviews in five different domains: a bibliometric summary. Sustainability 15(5), 4026 (2023). https://doi.org/10.3390/su15054026
Piest, J.P.S., Masuda, Y., Nakamura, O.: Healthcare under society 5.0: a systematic literature review of applications and case studies. In: Chen, Y.W., Tanaka, S., Howlett, R.J., Jain, L.C. (eds.) Innovation in Medicine and Healthcare. KES InMed 2023. Smart Innovation, Systems and Technologies, vol. 357. Springer, Singapore (2023). https://doi.org/10.1007/978-981-99-3311-2_8
Cabinet Office: Cross-ministerial Strategic Innovation Promotion Program. SIP Innovative Artificial Intelligence (AI) Hospital System (2019). https://www8.cao.go.jp/cstp/english/10_aihospital_rdplan.pdf
Piest, J.P.S., Iacob, M.E., Wouterse, M.J.T.: Designing intelligence amplification: a design canvas for practitioners. In: Ahram, T., Taiar, R. (eds.) Human Interaction & Emerging Technologies (IHIET 2022): Artificial Intelligence & Future Applications. International Conference. AHFE Open Access, vol. 68. AHFE International, USA (2022). https://doi.org/10.54941/ahfe1002714
Piest, J.P.S., Iacob, M.E., Wouterse, M.J.T.: Designing intelligence amplification: organizing a design canvas workshop. In: Ahram, T., Taiar, R. (eds.) Human Interaction & Emerging Technologies (IHIET 2022): Artificial Intelligence & Future Applications. International Conference. AHFE Open Access, vol. 68. AHFE International, USA (2022). https://doi.org/10.54941/ahfe1002739
Piest, J.P.S., Iacob, M.E., Wouterse, M.J.T.: Tutorial: conceptualizing intelligence amplification in human-centred AI applications using the design canvas. In: Ahram, T., Taiar, R. (eds.) Human Interaction and Emerging Technologies (IHIET-AI 2023): Artificial Intelligence and Future Applications. International Conference. AHFE Open Access, vol. 70. AHFE International, USA (2023). https://doi.org/10.54941/ahfe1002937
Piest, J.P.S., Masuda, Y., Nakamura, O., Karaca, K.: Human-centred design thinking using the intelligence amplification design canvas and the adaptive integrated digital architecture framework. In: Zimmermann, A., Howlett, R., Jain, L.C. (eds.) Human Centred Intelligent Systems. KES-HCIS 2023. Smart Innovation, Systems and Technologies, vol. 359. Springer, Singapore (2023). https://doi.org/10.1007/978-981-99-3424-9_15
NHK Science view (2023). Special Episode: AI Hospitals - A Step Towards the Future. https://www3.nhk.or.jp/nhkworld/en/ondemand/video/2015303/
Masuda, Y., Jain, R., Zimmermann, A., Schmidt, R., Nakamura, O., Toma, T.: Applying AIDAF for digital transformation toward ecosystem in global enterprise. In: Zimmermann, A., Howlett, R., Jain, L.C. (eds.) Human Centred Intelligent Systems. KES-HCIS 2023. Smart Innovation, Systems and Technologies, vol. 359. Springer, Singapore (2023). https://doi.org/10.1007/978-981-99-3424-9_16
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Piest, J.P.S., Jinzaki, M., Masuda, Y., Toriya, M., Nakamura, O., Toma, T. (2024). Multiple Use Case Analysis of an AI Hospital Using the AIDAF and Intelligence Amplification Design Canvas. In: Sales, T.P., de Kinderen, S., Proper, H.A., Pufahl, L., Karastoyanova, D., van Sinderen, M. (eds) Enterprise Design, Operations, and Computing. EDOC 2023 Workshops . EDOC 2023. Lecture Notes in Business Information Processing, vol 498. Springer, Cham. https://doi.org/10.1007/978-3-031-54712-6_1
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