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El. knyga: Mobile Technologies for Delivering Healthcare in Remote, Rural or Developing Regions

Edited by , Edited by (Kyushu University Hospital, Medical Information Centre, Fukuoka, Japan), Edited by (Kyushu University, Department of Advanced Information), Edited by , Edited by (University of Michigan-Shanghai Jiao Tong University Joint Institute, Centre for Entrepreneurship, China)
  • Formatas: EPUB+DRM
  • Serija: Healthcare Technologies
  • Išleidimo metai: 29-Sep-2020
  • Leidėjas: Institution of Engineering and Technology
  • Kalba: eng
  • ISBN-13: 9781839530487
Kitos knygos pagal šią temą:
Mobile Technologies for Delivering Healthcare in Remote, Rural or Developing RegionsDidesnis paveikslėlis
  • Formatas: EPUB+DRM
  • Serija: Healthcare Technologies
  • Išleidimo metai: 29-Sep-2020
  • Leidėjas: Institution of Engineering and Technology
  • Kalba: eng
  • ISBN-13: 9781839530487
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This edited book explores the use of mobile technologies such as phones, drones, robots, Apps, and wearable monitoring devices for improving access to healthcare for socially disadvantaged populations in remote, rural or developing regions.



This edited book explores the use of mobile technologies such as phones, drones, robots, apps, and wearable monitoring devices for improving access to healthcare for socially disadvantaged populations in remote, rural or developing regions. This book brings together examples of large scale, international projects from developing regions of China and Belt and Road countries from researchers in Australia, Bangladesh, Denmark, Norway, Japan, Spain, Thailand and China. The chapters discuss the challenges presented to those seeking to deploy emerging mobile technologies (e.g., smartphones, IoT, drones, robots etc.) for healthcare (mHealth) in developing countries and discuss the solutions undertaken in these case study projects.

This book brings together joint work in mHealth projects across multiple disciplines (software, healthcare, mobile communications, entrepreneurship and business and social development). Bringing together research from different institutions and disciplines, the editors illustrate the technical and entrepreneurial aspects of using mobile technologies for healthcare development in remote regions. Chapters are grouped into five key themes: the global challenge, portable health clinics, sustainable and resilient mHealth services, mHealth for the elderly, and mHealth for chronic illnesses.

The book will be of particular interest to engineers, entrepreneurs, NGOs and researchers working in healthcare in sustainable development settings.

About the editors xvii
Acknowledgements xix
Introduction xxi
Section I: Global challenge 1(90)
1 Role of the university for sustainable development
3(20)
Soong-Chul Ro
Sohel Ahmed
Andy Hsiao
Yulei Fu
1.1 Introduction
3(1)
1.2 Role of university for sustainable development: a literature review
4(6)
1.3 Technology entrepreneurship for sustainable development
10(5)
1.3.1 TESD model
10(3)
1.3.2 Bangladesh sustainable development challenge
13(2)
1.4 Discussion
15(4)
1.5 Concluding remarks
19(1)
References
20(3)
2 Be friends with the future - Global innovation and entrepreneurship collaboration system in the field of medical health
23(24)
Zhang Zhigang
2.1 Folding: the basic driving force of social development
24(9)
2.1.1 The basic model of a complex system
25(4)
2.1.2 Pyramid model for the evolution of complex systems
29(4)
2.2 Opportunities and development trends of the medical and health industry under the background of globalization
33(4)
2.2.1 New developments in the field of human health through the development of science and technology and globalization
33(2)
2.2.2 The new challenges that globalization brings to the healthcare field
35(1)
2.2.3 Globalization has brought new opportunities for humankind to solve health problems
36(1)
2.3 Building a global innovation and entrepreneurship ecosystem to promote global collaboration in the field of healthcare
37(8)
2.3.1 A global innovation and entrepreneurship community as an application layer for the university
38(1)
2.3.2 From technology transfer model to collaborative innovation model
39(1)
2.3.3 The ecosystem approach in developing healthcare inside the boundary
39(4)
2.3.4 The collaboration with the nodes outside the boundary
43(1)
2.3.5 New model of "research and incubation in the field"
44(1)
2.3.6 Case study on AccuMed
44(1)
2.3.7 Create a healthy future for humankind through global collaboration
44(1)
References
45(2)
3 Use of mobile health application to support belt and road initiatives: a cross-sectional study in China and Bangladesh
47(14)
Md. Rakibul Hoque
Shahidul Islam
3.1 Background
47(1)
3.2 Research problem
48(1)
3.3 Research objective
48(1)
3.4 Methodology
49(1)
3.5 Data analysis
50(2)
3.6 Discussions
52(1)
3.7 Proposing a mobile health application
53(4)
3.8 Conclusion
57(2)
References
59(2)
4 Behind the popularity of "online mutual aid": how does the Chinese one-child policy generation appraise and control cancer risk of their aging parents?
61(18)
Ying Shen
Da'an Huang
4.1 Introduction
61(3)
4.2 Methods
64(2)
4.2.1 Measures
64(1)
4.2.2 Respondents and statistics
65(1)
4.3 Results
66(4)
4.4 Discussion
70(4)
4.5 Limitations
74(1)
References
74(5)
5 Understanding health professionals' perspective on delivering health information on social media: a case study in Bangladesh
79(12)
Rashadul Hasan
Mahfuz Ashraf
Numa Sarkar
5.1 Introduction
79(2)
5.2 Case study: Good Health app
81(2)
5.3 Literature review
83(1)
5.4 Theoretical perspective
84(2)
5.4.1 Social penetration theory
85(1)
5.4.2 Social exchange theory
85(1)
5.5 Proposing a theory-based conceptual framework
86(1)
5.6 Conclusion
87(1)
5.7 Recommendations
87(1)
5.8 Contribution
87(1)
References
88(3)
Section II: Portable health clinic 91(98)
6 Mapping the need for preventive healthcare services in remote South Asian communities
93(12)
Faiz Shah
Rowena Alcoba
Sajid Omar Farook
Seema Medhe
6.1 Overview of healthcare access in the SAARC and ASEAN nations along the belt and road region
93(2)
6.2 State of health services availability for rural populations in the ASEAN and SAARC regions
95(5)
6.2.1 Baseline demographics of population distribution
95(1)
6.2.2 State of health
96(2)
6.2.3 Burden of health
98(1)
6.2.4 Availability of healthcare workforce
99(1)
6.3 Effectiveness of PHC to rectify the high burden of health in the underdeveloped and developing countries
100(3)
References
103(2)
7 Portable health clinic: concept, design, implementation and challenges
105(18)
Ashir Ahmed
Mehdi Hasan
Masuda Begum Sampa
Kazi Mozaher Hossein
Yasunobu Nohara
Naoki Nakashima
7.1 Basic concept and system architecture of PHC system
105(2)
7.2 Evolution of technologies to adapt community needs
107(2)
7.2.1 PHC for low-resource setting
107(1)
7.2.2 Toward improving the system efficiency
108(1)
7.2.3 Trust of the consumers toward the PHC system
108(1)
7.2.4 Geographical expansion of PHC concept
108(1)
7.2.5 Modular expansion
108(1)
7.3 Target community for business: lessons learned
109(2)
7.3.1 Rural unreached community
109(1)
7.3.2 Urban aging community
110(1)
7.3.3 Urban corporate community
110(1)
7.3.4 Urban morning walkers community
110(1)
7.4 Technical challenge: healthcare data errors
111(2)
7.5 Social challenges: acceptance of remote healthcare service
113(2)
7.6 Case study to increase the accessibility and reduce healthcare delivery cost
115(5)
7.7
Chapter summary
120(1)
References
120(3)
8 Modular expansion of PHC in Bangladesh
123(22)
Rafiqul Islam Maruf
Kimiyo Kikuchi
Yoko Sato
Rieko Izukura
Mariko Nishikitani
8.1 Requirement of modular expansion of PHC
123(1)
8.2 Tele-Pathology system in PHC
124(2)
8.2.1 Introduction
124(1)
8.2.2 Tele-Pathology system structure
124(1)
8.2.3 PHC service delivery process with Tele-Pathology system
125(1)
8.3 Tele-EyeCare system in PHC
126(4)
8.3.1 Introduction
126(1)
8.3.2 Tele-EyeCare system structure
127(1)
8.3.3 Automated Tele-EyeCare system using AI technologies
128(2)
8.4 MCH care system in PHC
130(3)
8.4.1 Introduction
130(1)
8.4.2 Maternal and child health system structure
131(2)
8.4.3 Expected outcomes of the maternal and child health system
133(1)
8.5 Self-reported health outcomes in PHC
133(4)
8.5.1 Introduction
133(1)
8.5.2 Bangladeshi population trends in QOL or health-related QOL (HR-QOL): a study focused on the Bangladeshi population (brief summary)
134(1)
8.5.3 Expected outcome and future issues
134(3)
8.6 Occupational and environmental health module
137(3)
8.6.1 Introduction
137(1)
8.6.2 Measurements of workers' health and environmental condition
138(1)
8.6.3 Expected outcome and future issues
138(2)
8.7 Conclusion
140(1)
References
140(5)
9 PHC and case studies of remote healthcare services in Asian countries
145(20)
Fumihiko Yokota
Manish Biyani
Yuandong Hu
Kimiyo Kikuchi
Faiz Shah
Junko Yasuoka
Keiko Nanishi
Rowena Alcoba
Amina Noureen
9.1 Processes of co-design and co-implementation in a portable health clinic research project in Jaipur District, India (March 2016-August 2019)
145(5)
9.1.1 First phase (March 2016-April 2017)
146(1)
9.1.2 Second phase (May 2017-September 2017)
146(1)
9.1.3 Third phase (October 2017-February 2018)
147(1)
9.1.4 Fourth phase (March 2018-October 2018)
147(1)
9.1.5 Fifth phase (November 2018-Present)
148(1)
9.1.6 Summary of co-design and co-production processes in all five phases
149(1)
Acknowledgments
149(1)
9.2 All-in-one health machine project in rural area of China
150(3)
9.2.1 Introduction
150(1)
9.2.2 Implementation of AIO health machine project
151(1)
9.2.3 Challenges and problems in the application of AIO Health Machine
151(1)
9.2.4 Possible solutions for better usage of AIO Health Machine
152(1)
9.3 Remote monitoring to improve the continuum of care in mothers and newborns in Cambodia
153(3)
9.3.1 Introduction
153(1)
9.3.2 Intervention
153(1)
9.3.3 Identified challenges
154(2)
9.3.4 Conclusion
156(1)
Acknowledgments
156(1)
9.4 Mobile health care for migrant workers along corporate supply chains in Kasur District, Pakistan
156(6)
9.4.1 Introduction
156(2)
9.4.2 PHC as delivery system integrator
158(1)
9.4.3 SehatMobile design and implementation
159(1)
9.4.4 Opportunities and challenges
160(1)
9.4.5 Conclusion
160(2)
Acknowledgements
162(1)
9.5 Summary
162(1)
References
162(3)
10 Personal health record in Japan, China, and Bangladesh
165(14)
Naoki Nakashima
Yuandong Hu
Rafiqul Islam Maruf
Ashir Ahmed
10.1 PHR, a powerful tool for healthcare and patient engagement
165(1)
10.1.1 What is PHR?
165(1)
10.1.2 Recommended configuration for PHR
166(1)
10.2 Japanese PHR
166(4)
10.2.1 Japanese situation of healthcare and medical informatics
166(4)
10.3 Chinese PHR
170(2)
10.3.1 History of PHR in China
170(1)
10.3.2 Mechanism of the Chinese PHR
170(1)
10.3.3 Content and format of the Chinese PHR
171(1)
10.3.4 Improvement of the Chinese PHR
171(1)
10.3.5 Challenges for the Chinese PHR
172(1)
10.4 Bangladeshi PHR
172(4)
10.4.1 Bangladeshi situation of medical informatics
172(2)
10.4.2 Content of PHR in PHC system
174(1)
10.4.3 Comparison of PHC-PHR with Japanese PHR
174(1)
10.4.4 PHR monitoring user interface in PHC
174(2)
References
176(3)
11 Telemedical education in Asia
179(10)
Shuji Shimizu
Kuriko Kudo
Tomohiko Moriyama
Shunta Tomimatsu
Shintaro Ueda
Naoki Nakashima
11.1 Telemedicine
179(1)
11.1.1 Definition and advantages
179(1)
11.1.2 Classification
179(1)
11.2 Remote medical education
179(3)
11.2.1 History
179(1)
11.2.2 Programmes in Asian countries
180(1)
11.2.3 Beyond Asia
181(1)
11.2.4 Three key factors for success
182(1)
11.3 Access
182(1)
11.3.1 Academic versus commercial networks
182(1)
11.4 Needs
183(1)
11.4.1 Medical needs
183(1)
11.4.2 Medical content
184(1)
11.5 Skills
184(2)
11.5.1 Systems
184(1)
11.5.2 Training programmes
184(1)
11.5.3 Interdisciplinary meetings
185(1)
11.6 Limitations
186(1)
11.6.1 Technical problems
186(1)
11.6.2 Programme organisation
186(1)
11.6.3 Time differences
186(1)
11.7 Future
186(1)
References
187(2)
Section III: Sustainable and resilient mHealth services 189(64)
12 Generic disaster information model for message delivery triage in disaster response
191(16)
Teuku Aulia Geumpana
Fethi Rabhi
12.1 Introduction
191(2)
12.2 Related works
193(2)
12.3 POCkET Framework
195(1)
12.4 GIMo
196(3)
12.4.1 Overall process of customizing pocket GIMo for a specific context
197(2)
12.5 Case study
199(3)
12.5.1 Case study description
199(1)
12.5.2 Context setting
199(2)
12.5.3 Simulation result of scenario 1
201(1)
12.6 Discussion
202(1)
12.6.1 Genericity
202(1)
12.6.2 Completeness
202(1)
12.6.3 Extensibility and reusability
202(1)
12.7 Conclusion and future woks
203(2)
12.7.1 GIMo limitations
203(1)
12.7.2 Validation limitations
203(1)
12.7.3 Validity threats
204(1)
12.7.4 Future work
204(1)
References
205(2)
13 Application and development of drones for health services in developing countries
207(14)
Ruchi Saxena
13.1 Introduction
207(1)
13.2 Challenges
208(1)
13.3 Unmanned aerial vehicles
209(2)
13.4 Drone ecosystem
211(2)
13.5 Drones for healthcare
213(4)
13.5.1 Blood deliveries
214(1)
13.5.2 Vaccine deliveries
214(1)
13.5.3 Emergency medications and snake anti-venoms
214(1)
13.5.4 Laboratory samples
215(1)
13.5.5 Vector control
215(2)
13.5.6 Organ deliveries
217(1)
13.6 Way ahead
217(1)
References
217(4)
14 Build back better in the drone application by the Nepal Flying Labs
221(16)
Uttam Pudasaini
Darpan Pudasaini
Yasuhiro Soshino
14.1 Introduction
221(1)
14.2 Review of the drone applications in Nepal
222(2)
14.2.1 Initial stage of drone applications
222(1)
14.2.2 The drone applications in the 2015 Nepal earthquake
223(1)
14.2.3 Capacity building of drone communities in Nepal
223(1)
14.3 The Nepal Flying Labs
224(2)
14.3.1 The Flying Labs initiative and the Nepal Flying Labs
224(1)
14.3.2 Localisation of drone technology by the Flying Labs
225(1)
14.4 The drone applications by the Nepal Flying Labs
226(5)
14.4.1 Post-disaster resettlement planning by drones
226(2)
14.4.2 Drones for rural health in Nepal
228(3)
14.4.3 Sustainable localisation of drone technology
231(1)
14.5 Discussions
231(2)
14.5.1 The role of the drone ecosystem
231(1)
14.5.2 Rural areas for reverse innovation
232(1)
14.5.3 Challenges in the drone applications
233(1)
14.6 Conclusion
233(1)
References
234(3)
15 Sustainable and resilient community development by drones
237(16)
Yasuhiro Soshino
Takahiro Oohata
Yuuki Inada
15.1 Introduction
237(2)
15.2 Design and development of the drone-operating platform
239(2)
15.2.1 Backgrounds
239(1)
15.2.2 Field test in the search and rescue
240(1)
15.2.3 Development of Hec-Eye system
241(1)
15.3 Field test of the drone-operating platform
241(2)
15.3.1 Background of the field test
241(1)
15.3.2 Method of the field test
242(1)
15.3.3 Results
242(1)
15.3.4 Summary of the field test
243(1)
15.4 Sustainable community development by drones
243(7)
15.4.1 Backgrounds
243(1)
15.4.2 Social challenges in Minami-Oguni
244(1)
15.4.3 Community development using drones
244(1)
15.4.4 Drone applications in the community
244(5)
15.4.5 The community challenges and the Hec-Eye system
249(1)
15.5 Discussions
250(1)
15.5.1 Drone use as a community drone
250(1)
15.5.2 Common drone-operating platform for rural communities
251(1)
15.6 Conclusion
251(1)
References
252(1)
Section IV: mHealth for the elderly 253(68)
16 Mitigating isolation and loneliness with technology through emotional care by social robots in remote
255(14)
Roger Andre Soraa
Eduard Fosch-Villaronga
Jocio Quintas
Jorge Dias
Gunhild Tondel
Jon Sorgaard
Pernille Nyvoll
Henk Herman Nap
J. Artur Serrano
16.1 Being "social" with "others"
255(1)
16.2 Being lonely in remote areas
256(1)
16.2.1 Being lonely in the North
256(1)
16.2.2 Being lonely in the South
257(1)
16.3 Living well with "welfare technology"
257(2)
16.4 Social robots against loneliness
259(5)
16.4.1 Examples of European and national projects on welfare technology
259(4)
16.4.2 Critical features of social robots
263(1)
16.5 Reflections on robots, the elderly, and loneliness
264(2)
16.6 Concluding remarks
266(1)
Acknowledgments
266(1)
References
266(3)
17 Healthcare robots for elderly people: A review of the robotic solutions, use cases, and barriers
269(22)
Md. Rakibul Hogue
Sabin Huda
Md Rashadul Hasan
17.1 Introduction
269(2)
17.2 Existing robotic solutions for elderly care
271(1)
17.3 Methodology
271(1)
17.4 The use cases of healthcare robots
272(7)
17.4.1 Physical and functional decline
272(3)
17.4.2 Cognitive and psychosocial issues
275(4)
17.4.3 Mismanagement of medical regimes and health monitoring
279(1)
17.5 Barriers in adopting healthcare robots
279(3)
17.5.1 Users acceptance
280(1)
17.5.2 Usefulness and complexity
280(1)
17.5.3 Cost and inefficiency
281(1)
17.5.4 Enjoyment, social attractiveness, and human dignity
281(1)
17.5.5 Trust, safety, and evidence
281(1)
17.5.6 Ethical consideration, privacy, and validation
282(1)
17.6 Discussion and future direction
282(3)
References
285(6)
18 The integration of robots and wearables
291(14)
Mingzhong Wang
Don Kerr
18.1 Introduction
291(1)
18.2 Robots for the elderly
292(2)
18.3 Wearables for the elderly
294(2)
18.4 Cost-effective and scalable mHealth platform for the elderly
296(5)
18.4.1 Mobile servicing robot with wearable plugins
296(2)
18.4.2 Architecture
298(2)
18.4.3 Maturity model for multi-user robots in mHealth
300(1)
18.4.4 Illustrative user scenarios
300(1)
18.5 Conclusion
301(1)
References
302(3)
19 The usability of smart speakers for seniors
305(16)
Jacqueline Blake
19.1 Introduction
305(1)
19.2 Methodology
306(1)
19.3 Results
307(8)
19.3.1 Pre-questionnaire
307(1)
19.3.2 Post-questionnaire
307(8)
19.4 Discussion
315(2)
19.5 Implications for the Belt-and-Road region
317(1)
19.6 Conclusion
318(1)
References
318(3)
Section V: mHealth for chronic illnesses 321(108)
20 The status of healthcare service delivery systems: comparison, mobile health, and healthcare service design
323(20)
Saradhi Motamarri
Shahriar Akter
Pradeep K. Ray
20.1 Introduction
323(1)
20.2 Services life cycle
324(2)
20.3 Methods
326(1)
20.4 Healthcare services scenario
326(3)
20.4.1 Patients' evaluation of general practice
326(2)
20.4.2 Healthcare services quality in developing countries
328(1)
20.4.3 Healthcare service delivery indicators for Bangladesh
329(1)
20.5 The advent of ICT and mobile communications
329(4)
20.5.1 The emergence of eHealth/mHealth
330(1)
20.5.2 mHealth: the next generation of telemedicine?
331(2)
20.6 The need for healthcare services design framework
333(1)
20.7 Healthcare services quality, satisfaction and comparative studies
334(3)
20.7.1 Intra-system comparisons
335(2)
20.8 Conclusions
337(1)
20.8.1 Research questions
337(1)
20.8.2 Research contribution
337(1)
20.8.3 Conclusions
337(1)
References
337(6)
21 What is going on in digital health communities? A typology of support exchanges for cancer patients
343(14)
Babak Abedin
David Milne
Shadi Erfani
21.1 Introduction
343(1)
21.2 Research background
344(2)
21.2.1 Attraction-selection-attrition theory for online communities
344(1)
21.2.2 OHCs for cancer patients
345(1)
21.3 Study context
346(1)
21.4 Research design
346(3)
21.4.1 Development and validation of the annotation scheme
347(2)
21.5 Results
349(1)
21.6 Discussion
350(1)
21.7 Conclusion
351(1)
Acknowledgements
352(1)
References
352(5)
22 Business and legal framework for the exchange of mHealth data for aged care across countries
357(22)
Koel Ghora
Jan M. Smits
Maarten Kluitman
Pradeep K. Ray
22.1 Executive summary
357(1)
22.2 Conceptual frameworks
358(4)
22.2.1 Identifying business process components for e-Authentication and e-Authorisation
358(2)
22.2.2 Data type and assurance level
360(1)
22.2.3 Application of the business process model and AU2EU legal framework to use cases
360(2)
22.3 Regulatory framework for the AAL use case
362(9)
22.3.1 European approach towards e-Signatures
362(5)
22.3.2 Legal keywords and definitions
367(1)
22.3.3 Identifying and mapping legal actors to corresponding roles and regulations: legal framework
367(4)
22.4 Use case: eHealth/ambient-assisted living
371(6)
22.4.1 Use case: ambient assisted living (AAL) efficient care coordination
371(6)
22.5 Conclusion
377(1)
References
377(2)
23 Applications of machine learning techniques in the diagnosis of Parkinson's disease: promises and challenges
379(16)
Farhan Mohammed
Xiangjian He
Yiguang Lin
23.1 Introduction
379(2)
23.2 Machine learning concepts
381(3)
23.2.1 Data mining concepts
381(1)
23.2.2 Popular classification techniques
382(1)
23.2.3 Deep learning techniques
382(2)
23.3 Prior published studies
384(4)
23.3.1 PD classification using vocal attributes
384(2)
23.3.2 PD classification using gait attributes
386(1)
23.3.3 PD classification using imaging features
386(1)
23.3.4 PD classification using SPECT images
387(1)
23.4 New research applications of PD
388(1)
23.5 Challenges of machine learning techniques
389(1)
23.6 Conclusion and future direction
390(1)
References
390(5)
24 Assessment of vulnerability to natural disasters for emergency management in Victoria, Australia
395(28)
Arni Ariani
John Lewis
Padmanesan Narasimhan
Soegijardjo Soegijoko
Pradeep K. Ray
24.1 Introduction
395(1)
24.2 Geographical information system (GIS)
396(5)
24.2.1 Definition of GIS
396(1)
24.2.2 ArcGIS as a system for emergency/disaster management
397(3)
24.2.3 GIS limitations and constraints
400(1)
24.3 Two types of vulnerability
401(1)
24.3.1 Vulnerability based on socio-economic variables
401(1)
24.3.2 Vulnerability based on medical variables
401(1)
24.4 Methodology
402(6)
24.4.1 Metric construction and preliminary mapping
402(4)
24.4.2 Correlation, reliability and regression analysis
406(2)
24.4.3 Bivariate and residual mapping analysis
408(1)
24.5 Results
408(8)
24.5.1 Social vulnerability index (SoVI)
408(2)
24.5.2 Medical vulnerability index (MedVI)
410(3)
24.5.3 Correlation, reliability and regression analyses
413(2)
24.5.4 Bivariate and residual mapping analysis
415(1)
24.6 Discussion
416(2)
24.7 Conclusion
418(1)
References
418(5)
25 Conclusion and future work
423(6)
25.1 Conclusion and future work
423(1)
25.2 Project 1 - Global challenge
424(1)
25.3 Project 2 - Portable health clinic
424(1)
25.4 Project 3 - Drones for disaster management
425(1)
25.5 Project 4 - mHealth for the elderly
426(1)
25.6 Project 5 - mHealth for chronic illnesses
426(1)
25.7 Project 6 - mHealth security and controls
427(2)
Index 429
Pradeep Kumar Ray is the Director of the Centre for Entrepreneurship, University of Michigan-Shanghai Jiao Tong University Joint Institute, China, and currently leads the international initiative mHealth for Belt and Road region (mHBR) involving more than ten countries. Pradeep works on a range of innovative projects on eHealth and mHealth (jointly with industry, governments and global bodies like WHO, EU and IEEE) in eHealth and mHealth across the Asia Pacific region. He founded the WHO Collaborating Centre for eHealth in UNSW-Australia. He also co-founded IEEE Healthcom, premier international event held annually since 1999.



Naoki Nakashima is a professor and Director at the Medical Information Center of Kyushu University Hospital, and also a visiting professor of National Institute of Informatics, Japan. He is the leader for mHealth for Parkinsons Disease in mHBR. He is vice-president of the Japan Association for Medical Informatics (JAMI). He is also a founding member (2003) and past-vice director (2012) of the Telemedicine Development Center of Asia (TEMDEC) in Kyushu University.



Ashir Ahmed is an associate professor at the department of advanced information technology in Kyushu University, Japan and director of Global Communication Centre (GCC) projects at Grameen Communications, Bangladesh. Ashir leads the Portable Health Clinic project in mHBR. His research aims to produce and promote ICT-based social services for remote communities in the world.



Soong-Chul Ro is an associate professor and leader of the Bangladesh Challenge Project at the Centre for Entrepreneurship, University of Michigan-Shanghai Jiao Tong University Joint Institute (UM-SJTU JI), People's Republic of China. He also leads the Global Challenge project of mHBR. He has created and overseen several CSR projects, in partnership with NGOs and private companies. He is an honorary member of the Korean Diakonia Welfare Foundation.



Yasuhiro Soshino is the director of the International Medical Relief at Japan Red Cross Kumamoto Hospital, Japan. He also leads the Drones project at mHBR. He works closely with governments and industry in reaching medical relief in disaster affected areas using drones and has extensive experience in leading Red Cross disaster relief missions following natural disasters. He has been working on a range of disaster relief technologies including photovoltaics, IoT and drones.
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