-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] Subject: CFP: Emerging Practice and Policy of Big Bata Use in Healthcare Datum: Mon, 4 Dec 2017 17:21:10 +0600 Von: Md Hoque rakibulmisdu@gmail.com An: aisworld@lists.aisnet.org, Md Hoque rakibul539@yahoo.com

*International Journal of Big Data and Analytics in Healthcare** (IJBDAH)*

Special issue on

Emerging Practice and Policy of Big Bata Use in Healthcare ( https://www.igi-global.com/calls-for-papers-special/international-journal-bi... )

DEADLINE: February 28, 2018.

Guest editors

Dr. Adnan Mustafa AlBar, King Abdulaziz University, Saudi Arabia ( ambar@kau.edu.sa )

Dr. Md. Rakibul Hoque, University of Dhaka, Bangladesh (rakibul@du.ac.bd)

The increased use of eHealth, mHealth and the Internet of Things (IoT) in developing countries is generating massive amounts of useful data. Such use of online-based technologies by the population has decreased the cost of aggregating data electronically in developing countries and widen the scopes of big data practice in the healthcare sector. Considering the larger population size in the developing countries, population-based research in the healthcare system and industry using big data analytics would bridge the gap in understating how to improve and optimize health services through gaining newer insights. Beside the scopes of efficient and optimized healthcare service functions, big data also offers potential possibilities to aid in minimizing the budgetary waste in healthcare expenditure in the poor and developing countries. However, in many cases, the promise of big data is found to be constricted due to lack of well-versed legislation and governmental supports in developing countries.

The diffusion of online technology in developing countries offers promising opportunities to not only improved and optimized healthcare services for the disadvantaged people but also for the prevention of the spread of particular diseases in vulnerable areas. Although the practice of big data in developing countries is relatively complex for lack of infrastructure, skills, and supports, it could lead to big improvements in the planning and materialization of healthcare interventions. Research shows that the use of big data in developing countries is relatively new and the subsequent improvement in healthcare delivery there is still very little. Therefore, it is important to know about the impacts of users’ perceptions and concerns about privacy and trust in collecting data for big data practice, and as well as, the current development in forming new government policies to avail the maximum benefits of big data practice in healthcare in developing countries.

OBJECTIVE OF THE SPECIAL ISSUE:

The objective of this special issue is to collectively bring leading research in the application, governance and adoption strategies for the use of big data in healthcare in developing countries. With developing countries in focus, this particular issue seeks papers on different methods, frameworks, applications, and theories related to big data practice. In this process, this issue would include the papers that investigate the practice of big data in electronic health records, diagnosis of disease, healthcare management, and the related concerns of security, privacy and trust in social, economic, cultural and governmental policy contexts that exist in developing countries. Manuscripts that would appropriately follow research methods to distinctively contribute to the understanding of effective big data practice in developing countries through case studies, theoretical, practical, and conceptual frameworks will be received for publication. This special issue would contribute to the identification and dissemination of the best studies from the scholars, and ultimately help in deploying big data practice in healthcare to achieve the related millennium and sustainable development goals in developing countries. In this regard, this special issue covers the following topics, but not limited to, in the context of developing countries.

· Big data for electronic health records

· Users’ perspective of security, privacy and trust in big data analytics.

· Big data applications in context-sensitive targeted populations

· Big data enabled user studies in decision making in healthcare

· Mobile applications and infrastructure technologies in big data application.

· Evaluation of impact of big data application on modernized healthcare

· Theoretical constructs, models, architectures and conceptualizations for big data application

· Location Based big data application for citizen, professionals and organizations

· Social, cultural, legislative and economical barriers in big data practice

· Big data for cost minimization in healthcare delivery

· Big data applications in healthcare by the government and its policies

· Big data for chorionic patient management and disease outbreak management

SUBMISSION PROCEDURE:

Researchers and practitioners are invited to submit papers for this special theme issue on Emerging Practice and Policy of Big Bata Use in Healthcare *on or before* *February 28*. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations. Inquiries should be directed to either ambar@kau.edu.sa or rakibul@du.ac.bd

​Regards

Dr. Md. Rakibul Hoque Assistant Professor Department of Management Information Systems Faculty of Business Studies, University of Dhaka Room No- 3059, MBA Bhaban Cell: +8801912928171

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