TY - GEN
T1 - Vision Paper for Enabling Generative AI Digital Platform Using AIDAF in Healthcare and Manufacturing Industry
AU - Masuda, Yoshimasa
AU - Piest, Jean Paul Sebastian
AU - Jain, Rashmi
AU - Shepard, Donald
AU - Nakamura, Osamu
AU - Toma, Tetsuya
AU - Shirasaka, Seiko
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - Enterprises and information societies currently face significant challenges. Society 5.0 aims to contribute to a super-smart society, particularly in the critical healthcare and Industry 4.0 sectors of the global manufacturing industry. Generative artificial intelligence (AI) digital platforms have been designed to improve healthcare processes for patients with various diseases and help control costs in the healthcare ecosystem and manufacturing companies. However, current digital enterprise architecture approaches have not fully realized their potential, especially in the healthcare and manufacturing sectors. In this paper, we propose the adaptive integrated digital architecture framework (AIDAF) with a Generative AI integrated digital platform for university hospitals in Asia and the Americas, as well as global healthcare and manufacturing companies in Europe and Asia. Additionally, we discuss the challenges and future activities in this area, covering the directions for Society 5.0 and Industry 4.0. We suggest that an open healthcare platform, “Digital Strategic Architecture & Open Healthcare Platform 2030—DSA&OHP2030,” can be developed with AIDAF for Generative AI digital platforms. Furthermore, we explain the vision of AIDAF applications to enable Generative AI digital platforms for Society 5.0 in the DSA&OHP2030 research initiative.
AB - Enterprises and information societies currently face significant challenges. Society 5.0 aims to contribute to a super-smart society, particularly in the critical healthcare and Industry 4.0 sectors of the global manufacturing industry. Generative artificial intelligence (AI) digital platforms have been designed to improve healthcare processes for patients with various diseases and help control costs in the healthcare ecosystem and manufacturing companies. However, current digital enterprise architecture approaches have not fully realized their potential, especially in the healthcare and manufacturing sectors. In this paper, we propose the adaptive integrated digital architecture framework (AIDAF) with a Generative AI integrated digital platform for university hospitals in Asia and the Americas, as well as global healthcare and manufacturing companies in Europe and Asia. Additionally, we discuss the challenges and future activities in this area, covering the directions for Society 5.0 and Industry 4.0. We suggest that an open healthcare platform, “Digital Strategic Architecture & Open Healthcare Platform 2030—DSA&OHP2030,” can be developed with AIDAF for Generative AI digital platforms. Furthermore, we explain the vision of AIDAF applications to enable Generative AI digital platforms for Society 5.0 in the DSA&OHP2030 research initiative.
KW - (Generative) artificial intelligence
KW - Digital healthcare
KW - Digital platform
KW - Enterprise architecture
KW - Industry 4.0
KW - Society 5.0
UR - http://www.scopus.com/inward/record.url?scp=85218169927&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85218169927&partnerID=8YFLogxK
U2 - 10.1007/978-981-97-8598-8_16
DO - 10.1007/978-981-97-8598-8_16
M3 - Conference contribution
AN - SCOPUS:85218169927
SN - 9789819785971
T3 - Smart Innovation, Systems and Technologies
SP - 177
EP - 190
BT - Human Centred Intelligent Systems - Proceedings of KES-HCIS 2024 Conference
A2 - Zimmermann, Alfred
A2 - Schmidt, Rainer
A2 - Jain, Lakhmi C.
A2 - Howlett, R.J.
PB - Springer Science and Business Media Deutschland GmbH
T2 - International KES Conference on Human Centred Intelligent Systems, KES-HCIS 2024
Y2 - 19 June 2024 through 21 June 2024
ER -