Innovative Collaboration in Healthcare

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192,59 

Translational Systems Sciences 33

ISBN: 9819945682
ISBN 13: 9789819945689
Herausgeber: Hironobu Matsushita/Carole Orchard
Verlag: Springer Verlag GmbH
Umfang: xvi, 264 S., 23 s/w Illustr., 17 farbige Illustr., 264 p. 40 illus., 17 illus. in color.
Erscheinungsdatum: 25.01.2026
Auflage: 1/2026
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 732275 Kategorie:

Beschreibung

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 patient-centeredness, collaboration is required in various settings and under different contexts such as hospitals, communities, use of new technology development, integrating industry academia-hospital-government relationships, through interprofessional approaches. However, it is only recently that collaboration in health professions has begun to be researched and 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 critically analyze the ethics and conflicts that tend to hide behind the scenes.

Autorenporträt

Editors Hironobu Matsushita, Tokyo University of Information Sciences, Graduate School of Informatics, Chiba, Japan Carole Orchard, Western University, Arthur Labatt Family School of Nursing, London, Ontario, Canada

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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