Improving accessibility of the Australian My Health Records while preserving privacy and security of the system

Vimalachandran, Pasupathy; Liu, Hong; Lin, Yongzheng; Ke, Jun; Wang, Hua; Zhang, Yanchun

doi:10.1007/s13755-020-00126-4

Cited by 44 publications

(21 citation statements)

References 33 publications

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“…To ensure the security of information, PHRs should use a single sign-on mechanism [ 70 ], user authentication [ 26 , 33 , 64 , 72 , 73 , 112 , 117 ], authorization [ 42 , 112 ], identity verification [ 34 , 63 ], encryption [ 25 , 33 , 112 , 118 ] or pseudonymization [ 114 ], backup mechanism [ 25 , 33 , 72 ], and firewalls [ 72 ]. PHRs can also implement an access log so that users can see who viewed and downloaded information [ 76 ].…”

Section: Resultsmentioning

confidence: 99%

“…PHRs contain personal and sensitive data [47,77,108,[112][113][114]. Some people have concerns about storing these data online [54,103,108,113,115] and consent to use the system [116].…”

Section: Security and Privacymentioning

confidence: 99%

“…Issues in implementation of the PHR a .25,29,33,35,37-39,51,53,61-63, 68,72,76,86,88-90,96,100,102,104,106-112] Ability of PHR to share or exchange data with other systems Interoperability[25,26,[32][33][34]42,45,47,54,55,57,[60][61][62][63][64][65]69,70,[72][73][74]76,77,83,92,94,97,103,108,110,[112][113][114][115][116][117][118][119][120][121][122] Safeguarding of data and personal information in PHR Security and privacy[24,25,[33][34][35][36][37]…”

mentioning

confidence: 99%

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Functionalities and Issues in the Implementation of Personal Health Records: Systematic Review

Harahap¹,

Handayani²,

Hidayanto³

2021

J Med Internet Res

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Background Functionalities of personal health record (PHR) are evolving, and continued discussions about PHR functionalities need to be performed to keep it up-to-date. Technological issues such as nonfunctional requirements should also be discussed in the implementation of PHR. Objective This study systematically reviewed the main functionalities and issues in implementing the PHR. Methods This systematic review was conducted using Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. The search is performed using the online databases Scopus, ScienceDirect, IEEE, MEDLINE, CINAHL, and PubMed for English journal articles and conference proceedings published between 2015 and 2020. Results A total of 105 articles were selected in the review. Seven function categories were identified in this review, which is grouped into basic and advanced functions. Health records and administrative records were grouped into basic functions. Medication management, communication, appointment management, education, and self-health monitoring were grouped into advanced functions. The issues found in this study include interoperability, security and privacy, usability, data quality, and personalization. Conclusions In addition to PHR basic and advanced functions, other supporting functionalities may also need to be developed based on the issues identified in this study. This paper provides an integrated PHR architectural model that describes the functional requirements and data sources of PHRs.

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Section: Resultsmentioning

confidence: 99%

“…PHRs contain personal and sensitive data [47,77,108,[112][113][114]. Some people have concerns about storing these data online [54,103,108,113,115] and consent to use the system [116].…”

Section: Security and Privacymentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Functionalities and Issues in the Implementation of Personal Health Records: Systematic Review

Harahap¹,

Handayani²,

Hidayanto³

2021

J Med Internet Res

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“…The naïve Bayes classifier and CNN algorithms identify the system faults in a wireless sensor network to improve the power and convergence performance [5]. The CNN technique achieves better performance when compared to other techniques [13]. Generally, a fault can happen to a physical layer device, as shown up underneath Figure 1.…”

Section: Methodsmentioning

confidence: 99%

Fault Detection in Wireless Sensor Network Based on Deep Learning Algorithms

Regin¹,

Rajest

Singh

2018

ICST Transactions on Scalable Information Systems

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This paper is about Fault detection over a wireless sensor network in a fully distributed manner. First, we proposed the Convex hull algorithm to calculate a set of extreme points with the neighbouring nodes and the duration of the message remains restricted as the number of nodes increases. Second, we proposed a Naïve Bayes classifier and convolution neural network (CNN) to improve the convergence performance and find the node faults. Finally, we analyze convex hull, Naïve bayes and CNN algorithms using real-world datasets to identify and organize the faults. Simulation and experimental outcomes retain feasibility and efficiency and show that the CNN algorithm has better-identified faults than the convex hull algorithm based on performance metrics.

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“…Some of the existing review papers focused on either the privacy of the cloud or the security of the cloud, but not both. There were few examples of research papers that considered reviewing security and privacy at the same time within the health sector such as [126][127][128][129][130][131][132]. In this paper we reviewed most of the recent studies in both security and privacy areas.…”

Section: Disaster Recovery Plansmentioning

confidence: 99%

A Review of the State of the Art in Privacy and Security in the eHealth Cloud

Sahi

Lai

2021

IEEE Access

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The proliferation and usefulness of cloud computing in eHealth demands high levels of security and privacy for health records. However, eHealth clouds pose serious security and privacy concerns for sensitive health data. Therefore, practical and effective methods for security and privacy management are essential to preserve the privacy and security of the data. To review the current research directions in security and privacy in eHealth clouds, this study analysed and summarized the state of the art technologies and approaches reported in security and privacy in the eHealth cloud. An extensive review covering 132 studies from several peer-reviewed databases such as IEEE Xplore was conducted. The relevant studies were reviewed and summarized in terms of their benefits and risks. This study also compared several research works in the domain of data security requirements. This paper will provide eHealth stakeholders and researchers with extensive knowledge and information on current research trends in the areas of privacy and security.INDEX TERMS Cloud security; cloud privacy; eHealth cloud.

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Improving accessibility of the Australian My Health Records while preserving privacy and security of the system

Cited by 44 publications

References 33 publications

Functionalities and Issues in the Implementation of Personal Health Records: Systematic Review

Functionalities and Issues in the Implementation of Personal Health Records: Systematic Review

Fault Detection in Wireless Sensor Network Based on Deep Learning Algorithms

A Review of the State of the Art in Privacy and Security in the eHealth Cloud

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