
Innovative Collaboration in Healthcare
Series: Translational Systems Sciences; 33;
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Product details:
- Edition number 2024
- Publisher Springer
- Date of Publication 24 January 2025
- Number of Volumes 1 pieces, Book
- ISBN 9789819945658
- Binding Hardback
- No. of pages264 pages
- Size 235x155 mm
- Language English
- Illustrations 23 Illustrations, black & white; 17 Illustrations, color 842
Categories
Short description:
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.
MoreLong description:
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.
MoreTable of Contents:
1. Artificial Intelligence and Interprofessional Client-Centred Collaborative Practice in Health Care: Is There an Intersection Between the Two?.- 2. Innovative Collaboration in Healthcare.- 3. Roles and Effects of Communication Robot in Super-aging Society: Innovative collaboration between patient, caregiver and machine.- 4. Application of Technology in Sub-Saharan Africa: The Rwandan Experience.- 5. The role of technology in supporting collaborative health care delivery in rural Australia: Challenges and new directions.- 6. Cybersecurity Considerations.- 7. Interprofessional Team Building Within the Project ?CCC-Integrative?: A Field Report in Times of the COVID-19 Pandemic.- 8. Transcendental Collaboration: The Significance of Itako?s Kuchiyose in Promoting Grief Care for Suicide-Bereaved Family Members.- 9. The Efficacy of SSM-based Action Research in Nursing Care Improvement.- 10. Establishing a Support System for PTSD Prevention, Treatment, and Recovery Among Victims of Sexual Violence.- 11. Moral Distress and Interprofessional Collaboration Among Physicians, Nurses, and Social Workers.- 12. What are the competencies that are necessary to promote interprofessional collaboration? : A study to identify deviations from the competencies that nursing professions themselves perceive as competent.- 13. A study on the correlation between the degree of interprofessional collaboration and the quality of medical practice.- 14. Reflection on the Book Contents.
More