Real-World Data-Based Care Innovation:
Lessons Learned from Nursing Science
Gojiro Nakagami, Shinichiroh Yokota, and Hiromi Sanada
Abstract The use of real-world data for clinical applications is rapidly progressing.
However, in nursing, the creation of next-generation care based on real-world data
has just begun. In this chapter, we introduce various technologies that nursing
researchers have developed by working on real-world data analysis in collaboration
with researchers in different fields and discuss the next generation of nursing
research.
Keywords Artificial intelligence · Bioengineering nursing · Falls · Pressure ulcers
1 Introduction
With the extension of life expectancy, more and more elderly people will live
independently. Major changes in human lifestyle, as well as medical and nursing
environments, are occurring, along with the emergence of an aging society with
fewer children. These changes are causing a global paradigm shift from medical
services aimed at curing diseases to those supporting individuals. Such supportive
medical or nursing services prioritize assistance in the daily lives of people with
various levels of disability, which emphasizes a comprehensive understanding of the
individual from a holistic point of view. Furthermore, in the era of Society 5.0 in
which the cyber and physical fields are highly integrated, next-generation care is
needed where people and advanced technologies coexist and support every
G. Nakagami (*) · H. Sanada
Department of Gerontological Nursing/Wound Care Management, Graduate School of
Medicine, The University of Tokyo, Tokyo, Japan
Global Nursing Research Center, Graduate School of Medicine, The University of Tokyo,
Tokyo, Japan
e-mail: gojiron-tky@umin.ac.jp
S. Yokota
Department of Healthcare Information Management, The University of Tokyo Hospital, Tokyo,
Japan
© Springer Nature Singapore Pte Ltd. 2021
H. Matsushita (ed.), Health Informatics, Translational Systems Sciences 24,
https://doi.org/10.1007/978-981-15-3781-3_5
81
Lessons Learned from Nursing Science
Gojiro Nakagami, Shinichiroh Yokota, and Hiromi Sanada
Abstract The use of real-world data for clinical applications is rapidly progressing.
However, in nursing, the creation of next-generation care based on real-world data
has just begun. In this chapter, we introduce various technologies that nursing
researchers have developed by working on real-world data analysis in collaboration
with researchers in different fields and discuss the next generation of nursing
research.
Keywords Artificial intelligence · Bioengineering nursing · Falls · Pressure ulcers
1 Introduction
With the extension of life expectancy, more and more elderly people will live
independently. Major changes in human lifestyle, as well as medical and nursing
environments, are occurring, along with the emergence of an aging society with
fewer children. These changes are causing a global paradigm shift from medical
services aimed at curing diseases to those supporting individuals. Such supportive
medical or nursing services prioritize assistance in the daily lives of people with
various levels of disability, which emphasizes a comprehensive understanding of the
individual from a holistic point of view. Furthermore, in the era of Society 5.0 in
which the cyber and physical fields are highly integrated, next-generation care is
needed where people and advanced technologies coexist and support every
G. Nakagami (*) · H. Sanada
Department of Gerontological Nursing/Wound Care Management, Graduate School of
Medicine, The University of Tokyo, Tokyo, Japan
Global Nursing Research Center, Graduate School of Medicine, The University of Tokyo,
Tokyo, Japan
e-mail: gojiron-tky@umin.ac.jp
S. Yokota
Department of Healthcare Information Management, The University of Tokyo Hospital, Tokyo,
Japan
© Springer Nature Singapore Pte Ltd. 2021
H. Matsushita (ed.), Health Informatics, Translational Systems Sciences 24,
https://doi.org/10.1007/978-981-15-3781-3_5
81