Preserving Data Privacy and Security in Australian My Health Record System: A Quality Health Care Implication

Vimalachandran, Pasupathy; Zhang, Yanchun; Cao, Jun; Sun, Lin; Yong, Jianming

doi:10.1007/978-3-030-02925-8_8

Cited by 5 publications

(4 citation statements)

References 24 publications

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“…The MyHR system is developed to improve the health care outcome to reduce the cost in the long term perspective in Australia. While the system has backed up with clear benefits, the implementation process of the initiative faces many challenges [37,38].…”

Section: Privacy and Security Concerns Of The My Health Recordmentioning

confidence: 99%

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

Vimalachandran

Liu

Lin

et al. 2020

Health Inf Sci Syst

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Australian My Health Record (MyHR) is a significant development in empowering patients, allowing them to access their summarised health information themselves and to share the information with all health care providers involved in their care. Consequently, the MyHR system must enable efficient availability of meaningful, accurate, and complete data to assist an improved clinical administration of a patient. However, while enabling this, protecting data privacy and ensuring security in the MyHR system has become a major concern because of its consequences in promoting high standards of patient care. In this paper, we review and address the impact of data security and privacy on the use of the MyHR system and its associated issues. We determine and analyse where privacy becomes an issue of using the MyHR system. Finally, we also present an appropriate method to protect the security and privacy of the MyHR system in Australia.

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Section: Privacy and Security Concerns Of The My Health Recordmentioning

confidence: 99%

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

Vimalachandran

Liu

Lin

et al. 2020

Health Inf Sci Syst

Self Cite

View full text Add to dashboard Cite

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“…These security mechanisms have a significant impact on the platform's functionality. As a result, finding the correct combination of security restrictions and accessibility is critical to ensuring efficient security adoption [38][39][40]. Implementing up-to-date encryption, demanding adequate authentication, regularly fixing known vulnerabilities, and practising software quality assurance management are all crucial factors in safeguarding web apps against exploitation.…”

Section: Change Managementmentioning

confidence: 99%

DURASec: Durable Security Blueprints for Web-Applications Empowering Digital India Initiative

Ansari¹,

Agrawal²,

Khan³

2018

ICST Transactions on Scalable Information Systems

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Adversaries always eager to take advantage of flaws in emerging healthcare digital solutions. Very few authors discussed durable application security. Therefore there is a need for a durable security mechanism that must be adequately efficient, is reliable, and defend critical data in an emergency situation. It ensures that the application can be serviced and meet the needs of users over an extended period of time. This paper presents the fuzzy TOPSIS based method to evaluate the behavioural impact for durable security in the context of the Digital India initiative. This paper also presents novel DURASec blueprints for trustworthy and quality healthcare application development.. Even though the advantages of such technologies may outweigh the dangers, hospitals, drugstores, clinics, practitioners, the drug industry as well as medical device manufacturers, should be prepared to identify and minimize security threats in order to protect sensitive healthcare data.

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“…Despite the implementation of numerous privacy and security measures, patients' privacy continues to be compromised, often due to unreliable information-sharing methods and inadequate privacy policies [1,[6][7][8][9][10]. Highprofile data breaches in systems such as Australia's My Health Record (MHR) and the UK's National Health Service (NHS) have exposed millions of records, resulting in substantial financial losses for the healthcare industry [11]. Additionally, the expanding use of Machine Learning in healthcare for diagnostics, drug discovery, and precision medicine intensifies these concerns [12,13].…”

Section: Introductionmentioning

confidence: 99%

Towards a Universal Privacy Model for Electronic Health Record Systems: An Ontology and Machine Learning Approach

et al. 2023

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This paper proposed a novel privacy model for Electronic Health Records (EHR) systems utilizing a conceptual privacy ontology and Machine Learning (ML) methodologies. It underscores the challenges currently faced by EHR systems such as balancing privacy and accessibility, user-friendliness, and legal compliance. To address these challenges, the study developed a universal privacy model designed to efficiently manage and share patients’ personal and sensitive data across different platforms, such as MHR and NHS systems. The research employed various BERT techniques to differentiate between legitimate and illegitimate privacy policies. Among them, Distil BERT emerged as the most accurate, demonstrating the potential of our ML-based approach to effectively identify inadequate privacy policies. This paper outlines future research directions, emphasizing the need for comprehensive evaluations, testing in real-world case studies, the investigation of adaptive frameworks, ethical implications, and fostering stakeholder collaboration. This research offers a pioneering approach towards enhancing healthcare information privacy, providing an innovative foundation for future work in this field.

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Preserving Data Privacy and Security in Australian My Health Record System: A Quality Health Care Implication

Cited by 5 publications

References 24 publications

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

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

DURASec: Durable Security Blueprints for Web-Applications Empowering Digital India Initiative

Towards a Universal Privacy Model for Electronic Health Record Systems: An Ontology and Machine Learning Approach

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