Key Issues in Healthcare Data Integrity: Analysis and Recommendations
Managing data integrity is a challenging task for any expert or a researcher. This study attempts to collate a Systematic Literature Review of the research efforts done in the domain of healthcare data integrity. The paper highlights the criticalness of data integrity issues in healthcare through at...
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doaj-960de1d3b58a4e03a16086611745f6cf2021-03-30T02:43:09ZengIEEEIEEE Access2169-35362020-01-018406124062810.1109/ACCESS.2020.29766879016269Key Issues in Healthcare Data Integrity: Analysis and RecommendationsAbhishek Kumar Pandey0Asif Irshad Khan1Yoosef B. Abushark2Md. Mottahir Alam3Alka Agrawal4https://orcid.org/0000-0001-5503-7917Rajeev Kumar5https://orcid.org/0000-0002-1813-1362Raees Ahmad Khan6https://orcid.org/0000-0002-9454-1312Department of Information Technology, Babasaheb Bhimrao Ambedkar University (A Central University), Lucknow, Lucknow, IndiaComputer Science Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi ArabiaComputer Science Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi ArabiaDepartment of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi ArabiaDepartment of Information Technology, Babasaheb Bhimrao Ambedkar University (A Central University), Lucknow, Lucknow, IndiaDepartment of Information Technology, Babasaheb Bhimrao Ambedkar University (A Central University), Lucknow, Lucknow, IndiaDepartment of Information Technology, Babasaheb Bhimrao Ambedkar University (A Central University), Lucknow, Lucknow, IndiaManaging data integrity is a challenging task for any expert or a researcher. This study attempts to collate a Systematic Literature Review of the research efforts done in the domain of healthcare data integrity. The paper highlights the criticalness of data integrity issues in healthcare through attack statistics in the first section. The second section of the paper systematically reviews the previous studies discussing the healthcare related Systematic literature reviews and data integrity techniques in healthcare sector. The third section of this study examines the collated literature through various analysis methodologies and discusses about the most prioritized technique as well as its challenges in healthcare data security. The fourth section illustrates about the various challenges and future directions to take while constructing a roadmap for the future research endeavors in healthcare data integrity management techniques. The concluding segment of the paper presents an objective assessment and sensitivity analysis for finding the implications and difficulties in the studies while outlining feasible solutions. Furthermore, this research endeavour also conducts a Scientometric analysis of all the studies for better understanding of the literature reviewed. Ranking or the Priority analysis part of the paper is totally dedicated to the previously used techniques in healthcare. The paper also discusses about data integrity techniques and postulates that the most prioritized data integrity technique is the blockchain.https://ieeexplore.ieee.org/document/9016269/Healthcare datadata integritydata securitysystematic reviewScientometric analysissensitivity analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Abhishek Kumar Pandey Asif Irshad Khan Yoosef B. Abushark Md. Mottahir Alam Alka Agrawal Rajeev Kumar Raees Ahmad Khan |
spellingShingle |
Abhishek Kumar Pandey Asif Irshad Khan Yoosef B. Abushark Md. Mottahir Alam Alka Agrawal Rajeev Kumar Raees Ahmad Khan Key Issues in Healthcare Data Integrity: Analysis and Recommendations IEEE Access Healthcare data data integrity data security systematic review Scientometric analysis sensitivity analysis |
author_facet |
Abhishek Kumar Pandey Asif Irshad Khan Yoosef B. Abushark Md. Mottahir Alam Alka Agrawal Rajeev Kumar Raees Ahmad Khan |
author_sort |
Abhishek Kumar Pandey |
title |
Key Issues in Healthcare Data Integrity: Analysis and Recommendations |
title_short |
Key Issues in Healthcare Data Integrity: Analysis and Recommendations |
title_full |
Key Issues in Healthcare Data Integrity: Analysis and Recommendations |
title_fullStr |
Key Issues in Healthcare Data Integrity: Analysis and Recommendations |
title_full_unstemmed |
Key Issues in Healthcare Data Integrity: Analysis and Recommendations |
title_sort |
key issues in healthcare data integrity: analysis and recommendations |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
Managing data integrity is a challenging task for any expert or a researcher. This study attempts to collate a Systematic Literature Review of the research efforts done in the domain of healthcare data integrity. The paper highlights the criticalness of data integrity issues in healthcare through attack statistics in the first section. The second section of the paper systematically reviews the previous studies discussing the healthcare related Systematic literature reviews and data integrity techniques in healthcare sector. The third section of this study examines the collated literature through various analysis methodologies and discusses about the most prioritized technique as well as its challenges in healthcare data security. The fourth section illustrates about the various challenges and future directions to take while constructing a roadmap for the future research endeavors in healthcare data integrity management techniques. The concluding segment of the paper presents an objective assessment and sensitivity analysis for finding the implications and difficulties in the studies while outlining feasible solutions. Furthermore, this research endeavour also conducts a Scientometric analysis of all the studies for better understanding of the literature reviewed. Ranking or the Priority analysis part of the paper is totally dedicated to the previously used techniques in healthcare. The paper also discusses about data integrity techniques and postulates that the most prioritized data integrity technique is the blockchain. |
topic |
Healthcare data data integrity data security systematic review Scientometric analysis sensitivity analysis |
url |
https://ieeexplore.ieee.org/document/9016269/ |
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