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Mobile Health (mHealth) = rethinking...
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Kodama, Kota.
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Mobile Health (mHealth) = rethinking innovation management to Harmonize AI and social design /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Mobile Health (mHealth)/ edited by Kota Kodama, Shintaro Sengoku.
Reminder of title:
rethinking innovation management to Harmonize AI and social design /
other author:
Kodama, Kota.
Published:
Singapore :Springer Nature Singapore : : 2022.,
Description:
xi, 282 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:
Global scale comparison of mHealth regulation -- Chapter 1 Introduction of the concept of AI in the field of mHealth while discovering the trends in mHealth research field -- Chapter 2 Relationship of Innovation and Regulation on mHealth -- Chapter 3 The Current Situation of Mobile Health in China from the Perspective of Policy, Application, and User Acceptance: A Multi-Method Systematic Analysis -- Chapter 4 Digital Healthcare Development and mHealth in South Korea -- Chapter 5 Regulations and the Status of Social Implementation of Services on mHealth in Japan -- Chapter 6 Precision Public Health and the Role of mHealth : The Use of Smartphone Applications Worldwide in Mitigating the Covid19 Pandemic and Their Integration as Components of Public Health Policies. A Focus on the French Example -- Chapter 7 Summary of the First Half and the Possibilities and Problems Related to mHealth in the Later Chapters -- Chapter 8 mHealth as a Component of Next Generation Healthcare -- Chapter 9 mHealth's Potential for Measuring Work Attitudes in Psychological and Physical Factors -- Chapter 10 mHealth Beyond Healthcare -Fusion Approach Towards Better Wellness- -- Chapter 11 Mobile Health for Preventive Healthcare -- Chapter 12 Overall Summary.
Contained By:
Springer Nature eBook
Subject:
Wireless communication systems in medical care. -
Online resource:
https://doi.org/10.1007/978-981-19-4230-3
ISBN:
9789811942303
Mobile Health (mHealth) = rethinking innovation management to Harmonize AI and social design /
Mobile Health (mHealth)
rethinking innovation management to Harmonize AI and social design /[electronic resource] :edited by Kota Kodama, Shintaro Sengoku. - Singapore :Springer Nature Singapore :2022. - xi, 282 p. :ill. (some col.), digital ;24 cm. - Future of business and finance,2662-2475. - Future of business and finance..
Global scale comparison of mHealth regulation -- Chapter 1 Introduction of the concept of AI in the field of mHealth while discovering the trends in mHealth research field -- Chapter 2 Relationship of Innovation and Regulation on mHealth -- Chapter 3 The Current Situation of Mobile Health in China from the Perspective of Policy, Application, and User Acceptance: A Multi-Method Systematic Analysis -- Chapter 4 Digital Healthcare Development and mHealth in South Korea -- Chapter 5 Regulations and the Status of Social Implementation of Services on mHealth in Japan -- Chapter 6 Precision Public Health and the Role of mHealth : The Use of Smartphone Applications Worldwide in Mitigating the Covid19 Pandemic and Their Integration as Components of Public Health Policies. A Focus on the French Example -- Chapter 7 Summary of the First Half and the Possibilities and Problems Related to mHealth in the Later Chapters -- Chapter 8 mHealth as a Component of Next Generation Healthcare -- Chapter 9 mHealth's Potential for Measuring Work Attitudes in Psychological and Physical Factors -- Chapter 10 mHealth Beyond Healthcare -Fusion Approach Towards Better Wellness- -- Chapter 11 Mobile Health for Preventive Healthcare -- Chapter 12 Overall 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.
ISBN: 9789811942303
Standard No.: 10.1007/978-981-19-4230-3doiSubjects--Topical Terms:
2056200
Wireless communication systems in medical care.
LC Class. No.: R858 / .M62 2022
Dewey Class. No.: 610.285
Mobile Health (mHealth) = rethinking innovation management to Harmonize AI and social design /
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Global scale comparison of mHealth regulation -- Chapter 1 Introduction of the concept of AI in the field of mHealth while discovering the trends in mHealth research field -- Chapter 2 Relationship of Innovation and Regulation on mHealth -- Chapter 3 The Current Situation of Mobile Health in China from the Perspective of Policy, Application, and User Acceptance: A Multi-Method Systematic Analysis -- Chapter 4 Digital Healthcare Development and mHealth in South Korea -- Chapter 5 Regulations and the Status of Social Implementation of Services on mHealth in Japan -- Chapter 6 Precision Public Health and the Role of mHealth : The Use of Smartphone Applications Worldwide in Mitigating the Covid19 Pandemic and Their Integration as Components of Public Health Policies. A Focus on the French Example -- Chapter 7 Summary of the First Half and the Possibilities and Problems Related to mHealth in the Later Chapters -- Chapter 8 mHealth as a Component of Next Generation Healthcare -- Chapter 9 mHealth's Potential for Measuring Work Attitudes in Psychological and Physical Factors -- Chapter 10 mHealth Beyond Healthcare -Fusion Approach Towards Better Wellness- -- Chapter 11 Mobile Health for Preventive Healthcare -- Chapter 12 Overall Summary.
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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.
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Social Sciences (SpringerNature-41176)
based on 0 review(s)
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W9446882
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EB R858 .M62 2022
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