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  • Book
  • May 2024

Innovative Collaboration in Healthcare

  • Covers a wide range of health disciplines involved in the latest advances of collaboration in diverse health services

  • Contains the expertise of a wide range of health professionals on pioneering advances in human–machine collaboration

  • Provides an overview of the characteristics of human-to-human and human-to-machine collaboration

Part of the book series: Translational Systems Sciences (TSS, volume 33)

About this book

 This book is the first to approach collaboration in healthcare from a translational systems science perspective. There is a complex intertwining of collaborative relationships between diverse sectors, industries, universities, professions, teams, patients, and machines and robots powered by artificial intelligence and big data. Innovative collaboration is evolving both in the real world and in the virtual space of the Internet. While respecting the patient-centeredness, collaboration is required in various arrangements such as hospitalization, community, new technology development, industry academia-government relations, university-business relations, hospital-government relations, and interprofessional relations. However, it is only recently that "collaboration" has begun to be researched discussed scientifically.

 The purpose of this book is to review and recapture "innovative collaboration" in modern healthcare, primarily from the perspective of translational systems science. To attain our goal, the authors have prepared three unique perspectives. The first is interprofessional collaboration. The elegance, sturdiness, and resilience of the tapestry depend heavily on cooperation between professions and the multisector. The second angle is patient-centeredness. In recent years, "patient-centeredness" has become an established motto, but to what extent is patient-centeredness, including ethics, realized in collaboration? We would like to introduce advanced approach. The third perspective is man-machine collaboration. Collaboration with robots and sensor systems connected to artificial intelligence and big data is becoming more common in all aspects of healthcare. While introducing advanced cases, the authors would like to sharply analyze the ethics and conflicts that tend to hide behind the scenes.



  • Collaboration Science
  • Interprofessional Collaboration
  • Man-machine Collaboration
  • Inter-sectorial Collaboration
  • Interprofessional Team Conflict Resolution
  • Interprofessional Collaborative Leadership
  • Trust Building in Healthcare Teams
  • Role of Persons in Their Own Healthcare
  • Inclusion of Persons in Their Own Healthcare Team

Editors and Affiliations

  • Graduate School of Informatics, Tokyo University of Information Sciences, Chiba-shi, Japan

    Hironobu Matsushita

  • Arthur Labatt Family School of Nursing, Western University, London, Canada

    Carole Orchard

About the editors

Hironobu Matsushita, Tokyo University of Information Sciences

Carole Orchard, Western University

Bibliographic Information