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Vision Paper for Enabling Generative AI Digital Platform Using AIDAF in Healthcare and Manufacturing Industry

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Human Centred Intelligent Systems (KES-HCIS 2024)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 414))

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Abstract

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.

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Author information

Authors and Affiliations

  1. The School of Computer Science at Carnegie, Mellon University in Pittsburgh, Pittsburgh, PA, USA

    Yoshimasa Masuda

  2. University of Twente, Drienerlolaan, The Netherlands

    Jean Paul Sebastian Piest

  3. Montclair State University, New Jersey, NJ, USA

    Rashmi Jain

  4. Brandeis University, Boston, MA, USA

    Donald Shepard

  5. The Graduate School of Media and Governance, Keio University, Kanagawa, Japan

    Yoshimasa Masuda & Osamu Nakamura

  6. The School of Management at Tokyo, University of Science in Tokyo, Shinjuku, Japan

    Yoshimasa Masuda

  7. The Graduate School of System Design and Management, Keio University, Kanagawa, Japan

    Tetsuya Toma & Seiko Shirasaka

Authors
  1. Yoshimasa Masuda
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  2. Jean Paul Sebastian Piest
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  3. Rashmi Jain
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  4. Donald Shepard
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  5. Osamu Nakamura
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  7. Seiko Shirasaka
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Correspondence to Yoshimasa Masuda .

Editor information

Editors and Affiliations

  1. Faculty of Computer Science, Reutlingen University, Reutlingen, Baden-Württemberg, Germany

    Alfred Zimmermann

  2. Hochschule München, München, Bayern, Germany

    Rainer Schmidt

  3. University of Piraeus, Athens, Greece

    Lakhmi C. Jain

  4. KES International Research, Shoreham-by-sea, UK

    R. J. Howlett

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Masuda, Y. et al. (2025). Vision Paper for Enabling Generative AI Digital Platform Using AIDAF in Healthcare and Manufacturing Industry. In: Zimmermann, A., Schmidt, R., Jain, L.C., Howlett, R.J. (eds) Human Centred Intelligent Systems. KES-HCIS 2024. Smart Innovation, Systems and Technologies, vol 414. Springer, Singapore. https://doi.org/10.1007/978-981-97-8598-8_16

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