Mobile Health (mHealth) : rethinking innovation management to Harmonize AI and social design / Kota Kodama, Shintaro Sengoku, editors.
Kodama, Kota, editor.; Sengoku, Shintaro, editor.
2022
R858 .M62 2022eb
Available Online

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Title
Mobile Health (mHealth) : rethinking innovation management to Harmonize AI and social design / Kota Kodama, Shintaro Sengoku, editors.
ISBN
9789811942303 (ebk.)
9811942307 (ebk.)
9789811942297
9811942293
DOI
https://doi.org/10.1007/978-981-19-4230-3
Published
Singapore : Springer, 2022.
Copyright
©2022
Language
English
Description
1 online resource (xi, 282 pages) : illustrations (some color).
Item Number
10.1007/978-981-19-4230-3 doi
Call Number
R858 .M62 2022eb
Dewey Decimal Classification
610.285
Summary
This book examines the current status of mHealth development, regulations and the social background in Japan, South Korea and China, comparing it to the situation in the United States and the European Union and consider solutions to issues surrounding mHealth. The recent progress in mobile technology, represented by smartphones and smart watches, has been remarkable. A service called mobile health (mHealth), which uses such mobile technology to manage health, is also becoming a reality. Although the accuracy of medical devices is not as accurate as those used in medicine, the biometric information such as heart rate and SpO2 can already be monitored over a long period of time. Although the technology is maturing to the point where it can be implemented in society, it remains an unapproved service of medical care in most countries. The development and social implementation of mHealth is most active in the US, but social implementation is gradually progressing in other countries as well. In this book, we will first discuss what kind of global and harmonized regulations are desirable by comparing the regulatory reforms necessary for social implementation of mHealth. In addition, mHealth raises privacy concerns in the US because the usual behavior and biometric information of subjects is utilized by private companies. In addition, it is important to note that the behavior and biometric information of subjects collected by smart devices is automatically analyzed by AI technology, mainly machine learning, which makes the analysis a black box.
Note
Description based upon print version of record.
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Access limited to authorized users.
Added Author
Kodama, Kota, editor.
Sengoku, Shintaro, editor.
Series
Future of business and finance.
Available in Other Form
Mobile Health (mHealth)
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Part I. Global Scale Comparison of mHealth Regulation
Introduction of the Concept of AI in the Field of mHealth While
Discovering the Trends in the mHealth Research Field
Relationship of Innovation and Regulation on mHealth
The Current Situation of Mobile Health in China from the Perspective of Policy, Application, User Acceptance: A Multi-Method Systematic Analysis
Digital Healthcare Development and mHealth in South Korea
Regulations and the Status of Social Implementation of Services on mHealth in Japan
Precision Public Health and the Role of mHealth: The Use of Smartphone Applications Worldwide in Mitigating the COVID-19 Pandemic and Their Integration as Components of Public Health Policies. A Focus on the French Example
Summary of the First Half and the Possibilities and Problems Related to mHealth in the Later Chapters
Part II. Discussion of mHealth Development with Case Studies
mHealth as a Component of Next-Generation Health Care
mHealth's Potential for Measuring Work Attitudes in Psychological and Physical Factors
mHealth Beyond Healthcare-Fusion Approach Towards Better Wellness-
Mobile Health for Preventive Healthcare
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