A conceptual distributed framework for improved and secured healthcare system

ABSTRACT In the twenty-first century, healthcare information technology has created the ability to electronically store, maintain, and move data across the world in a matter of seconds. It allows each healthcare provider to possess its own database of patient’s electronic medical record (EMR). The concept of ‘big data’ is now treated from different points of view covering its implications in many fields, including the healthcare sector. To achieve the wealth of health information, integrating, sharing, and availing data are the essential tasks that ultimately demand the concept of a distributed system. However, privacy and security of data are the matter of concerns, as data need to be accessed from various locations and users in the distributed system. The purposes of the present study are to provide an overview of big data and the effectiveness of big data in healthcare and to introduce a secured distributed e-healthcare system to provide better and secured health services across the nation.

[1]  Charles K. Davis,et al.  Beyond data and analysis , 2014, CACM.

[2]  Benjamin W. Wah,et al.  Significance and Challenges of Big Data Research , 2015, Big Data Res..

[3]  Fatos Xhafa,et al.  Semantics, intelligent processing and services for big data , 2014, Future Gener. Comput. Syst..

[4]  Frank J. Ohlhorst Big Data Analytics: Turning Big Data into Big Money , 2012 .

[5]  D. Lazer,et al.  The Parable of Google Flu: Traps in Big Data Analysis , 2014, Science.

[6]  Hairong Kuang,et al.  The Hadoop Distributed File System , 2010, 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST).

[7]  Abdelkabir Charkaoui,et al.  A new approach for the conception of an information system related to the medicines supply chain in Morocco , 2020 .

[8]  Viktor Mayer-Schnberger,et al.  Big Data: A Revolution That Will Transform How We Live, Work, and Think , 2013 .

[9]  Tiko Iyamu,et al.  Transformation of healthcare big data through the lens of actor network theory , 2018 .

[10]  Howard Gobioff,et al.  The Google file system , 2003, SOSP '03.

[11]  L. H. van de Burgwal,et al.  Challenges and best practices for big data-driven healthcare innovations conducted by profit–non-profit partnerships – a quantitative prioritization , 2018 .

[12]  P. Steiner Investment in health technologies calls for lessons to be learned , 2014 .

[13]  Jim Q. Chen,et al.  HIPAA security compliance challenges: The case for small healthcare providers , 2017 .

[14]  A. J. Abiodun,et al.  Performance role models among public health facilities: An application of data envelopment analysis , 2020 .

[15]  K. Bakshi,et al.  Considerations for big data: Architecture and approach , 2012, 2012 IEEE Aerospace Conference.

[16]  Charles P Friedman,et al.  Harnessing big data for health care and research: are urologists ready? , 2014, European urology.

[17]  Sanjay Ghemawat,et al.  MapReduce: Simplified Data Processing on Large Clusters , 2004, OSDI.

[18]  Vitalii Doban,et al.  Big data, advanced analytics and the future of comparative effectiveness research. , 2014, Journal of comparative effectiveness research.