The Australian PCEHR System: Ensuring Privacy and Security through an Improved Access Control Mechanism

Vimalachandran, Pasupathy; Wang, Hua; Zhang, Yanchun; Zhuo, Guangping

doi:10.4108/eai.9-8-2016.151633

Cited by 10 publications

(6 citation statements)

References 14 publications

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“…In the concept of OpenHIE interoperability (Open Health Information Exchange), in addition to standards, health data codification and electronic data exchange protocols, electronic data exchange was recommended using a centralized model (shared health records), where individual data was collected in one database system that were managed safely and reliably [11]. Australia through the concept of PCEHR (personally controlled electronic health record) is one of the countries that has a central data exchange model played by the federal government (central government) [12]. A centralized system makes it easier to connect data from different healthcare digital systems.…”

Section: Regulatory Analysis and Technical Guidancementioning

confidence: 99%

Interoperability of Health Digitalization

Lazuardi

Sanjaya²,

Ali³

et al. 2021

Bus. Inf. Sys.

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: Introduction : Maternal and child health (MCH) is a global priority as health care innovation continues to evolve, including the use of information and communication technology. Studies showed that interoperable information systems can improve the quality of health services and at the same time facilitate the integration of data for the purpose of monitoring and evaluating the performance of health services, especially MCH. Aims : This study aims to identify various maternal and child health information systems used in Indonesia and opportunity of interoperability between systems to support continuum of care services. Methodology: Qualitative descriptive research was conducted in Yogyakarta Province from November to December 2020. This study assessed MCH applications that have been used in public and private primary health care, hospitals, health offices and in the community by identifying their functions and mapped data elements used by each application to assess potential interoperability between systems. The online focus group discussions with various application providers was conducted to explore the challenges of interoperability between digital systems. Results and Discussion : There were 18 maternal and child health information systems have been developed by the government (central and local), health facilities and private sector. The initiation of interoperability between systems has not yet occurred, except to support regular reporting at the health office and Ministry of Health level. Interoperability between information systems required efforts to improve information technology facilities and infrastructure, development of health data standards, strengthening governance and regulation and utilization of data as an effort to monitor, evaluation and continuity of interoperability between systems to support the digitalization of services and routine reporting. Conclusions and Recommendations : Digitalization of MCH services in Indonesia has the opportunity to support the continuum of care through an interoperable system. However, several enabler factors need to be prepared to support interoperability between information systems.

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Section: Regulatory Analysis and Technical Guidancementioning

confidence: 99%

Interoperability of Health Digitalization

Lazuardi

Sanjaya²,

Ali³

et al. 2021

Bus. Inf. Sys.

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“…Inaccurate health information may adversely affect the quality of an individual's healthcare. Maintaining the integrity and completeness of health data is paramount because the computerisation of health information grows and the scope of organisational exchange of health information widens into Health Information Exchanges (HIEs) [19,20].…”

Section: Motivationmentioning

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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“…This parameter determines the size in bytes of the image after compression and the image size after the reconstruction in order to identify the loss of data in compression and reconstruction process [14]. It is measured in bytes.…”

Section: File Size After Compression and Reconstructionmentioning

confidence: 99%

Performance analysis of compression algorithms for information security: A Review

Sharma

Batra

2018

ICST Transactions on Scalable Information Systems

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Data compression is a vital part of information security, since compressed data is much more secure and convenient to handle. Effective data compression technique creates an effective, secure, easy communicable & redundant data. There are two types of compression algorithmic techniques:-lossy and lossless. These techniques can be applied to any data format like text, audio, video or image file. The primary objective of this study was to analyse data compression techniques used for information security techniques like steganography, cryptography etc. Four each, lossy and lossless techniques are implemented and evaluated on parameters like-file size, saving percentage, time, compression ratio and speed. Detailed analysis shows that the lossy techniques performs better quantitatively whereas lossless is better qualitatively. However, lossless techniques are more effective as there is no data loss during the process. Among all, Huffman encoding outperforms other algorithms.

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The Australian PCEHR System: Ensuring Privacy and Security through an Improved Access Control Mechanism

Cited by 10 publications

References 14 publications

Interoperability of Health Digitalization

Interoperability of Health Digitalization

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

Performance analysis of compression algorithms for information security: A Review

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