Creating a Learning Health System for Older Care
Author Information
Author(s): Ishii Keiko, Noguchi-Watanabe Maiko, Fukui Sakiko
Primary Institution: Tokyo Medical and Dental University
Hypothesis
How can a learning health system be established to improve the well-being of older adults through collaboration between AI, IoT, and healthcare professionals?
Conclusion
The study highlights the roles and challenges faced by researchers in an industry-academia collaboration aimed at enhancing older care.
Supporting Evidence
- The project team included a mix of researchers and industry staff.
- Monthly meetings were held to discuss research plans and strategies.
Takeaway
This study looks at how different experts can work together to help older people feel better and get better care.
Methodology
The study used the Project Management Body of Knowledge’s 12 management principles as an analytical framework.
Limitations
The study primarily focuses on the roles and challenges of researchers, which may not encompass all aspects of the project.
Participant Demographics
The project team included three researchers from home care nursing, four staff members from the university, and two employees from the collaborating company.
Digital Object Identifier (DOI)
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