Towards reliable and trustful personal health record systems: a case of cloud-dew architecture based provenance framework

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Udgivet i:Journal of Ambient Intelligence and Humanized Computing vol. 10, no. 10 (Oct 2019), p. 3795
Hovedforfatter: Khan, Fakhri Alam
Andre forfattere: Shaheen, Sadaf, Asif, Muhammad, Rahman, Atta Ur, Imran, Muhammad, Rehman, Saeed Ur
Udgivet:
Springer Nature B.V.
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024 7 |a 10.1007/s12652-019-01292-4  |2 doi 
035 |a 2919545873 
045 2 |b d20191001  |b d20191031 
100 1 |a Khan, Fakhri Alam  |u Institute of Management Sciences, Peshawar, Pakistan (GRID:grid.444989.c) 
245 1 |a Towards reliable and trustful personal health record systems: a case of cloud-dew architecture based provenance framework 
260 |b Springer Nature B.V.  |c Oct 2019 
513 |a Journal Article 
520 3 |a Personal health records (PHR) system serves not just as static repositories for data but it also combines knowledge and software tools with patients’ data that results in empowering patients to become active participants in their own healthcare management by providing their own medical history. In this research, a cloud-dew Architecture based Layered Provenance Framework for PHR system is proposed that goes beyond the trivial network/storage/service concept to a new micro-service level concept offering high scalability and availability in vertically distributed computing hierarchy. It pushes the frontiers of computing applications, data, and low-level services away from centralized virtual nodes to the end users. In response to this new micro-service model, a study was conducted of initially scrutinizing the cloud-dew architecture and ascertaining a list of requirements for the collection of provenance. We have observed the different layers of the cloud-dew architecture for identifying the requirements while keeping in view the several characteristics of cloud-dew architecture such as abstraction, modularity, etc. A lightweight and cost-efficient provenance framework is designed and established for its accomplishment. In addition, this proposed framework also provides services such as storage, query, and visualization of provenance besides highlighting the identified list of requirements. To measure the benefits of enabling provenance in Dew Computing, the pre-collected provenance and services of the proposed framework are utilized. 
653 |a Research 
653 |a Modularity 
653 |a Patients 
653 |a Electronic health records 
653 |a Dew 
653 |a Collaboration 
653 |a Computer architecture 
653 |a Health care policy 
653 |a Cloud computing 
653 |a End users 
653 |a Chronic illnesses 
653 |a Data science 
653 |a Personal health 
653 |a Literature reviews 
653 |a Web portals 
653 |a Objectives 
653 |a Software 
653 |a Distributed processing 
653 |a Computer networks 
653 |a Health literacy 
700 1 |a Shaheen, Sadaf  |u Institute of Management Sciences, Peshawar, Pakistan (GRID:grid.444989.c) 
700 1 |a Asif, Muhammad  |u Department of Computer Science, National Textile University, Faisalabad, Pakistan (GRID:grid.444766.3) 
700 1 |a Rahman, Atta Ur  |u Institute of Management Sciences, Peshawar, Pakistan (GRID:grid.444989.c) 
700 1 |a Imran, Muhammad  |u Institute of Business and Management Sciences, The University of Agriculture, Peshawar, Pakistan (GRID:grid.412298.4) (ISNI:0000 0000 8577 8102) 
700 1 |a Rehman, Saeed Ur  |u Department of Electrical and Computer Engineering, COMSATS University Islamabad, Attock Campus, Attock, Pakistan (GRID:grid.418920.6) (ISNI:0000 0004 0607 0704) 
773 0 |t Journal of Ambient Intelligence and Humanized Computing  |g vol. 10, no. 10 (Oct 2019), p. 3795 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/2919545873/abstract/embedded/ZKJTFFSVAI7CB62C?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/2919545873/fulltext/embedded/ZKJTFFSVAI7CB62C?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/2919545873/fulltextPDF/embedded/ZKJTFFSVAI7CB62C?source=fedsrch