Evidence map›Paper›PMID 33088487›Full record

ArticleHealth information science and systems2020

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

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

Abstract read
In one paragraph

Article in Health information science and systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Pasupathy VimalachandranInstitute for Sustainable Industries and Liveable Cities, Victoria University, Melbourne, Australia.
Hong LiuSchool of Information Science and Engineering, Shandong Normal University, Jinan, 250014 China.
Yongzheng LinSchool of Information Science and Engineering, Shandong Normal University, Jinan, 250014 China.
Ke JiSchool of Information Science and Engineering, University of Jinan, Jinan, 250022 China.
Hua WangInstitute for Sustainable Industries and Liveable Cities, Victoria University, Melbourne, Australia.ORCID 0000-0002-8465-0996
Yanchun ZhangInstitute for Sustainable Industries and Liveable Cities, Victoria University, Melbourne, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Data securityEHREMRHealth careMyHRPCEHR

Identifiers

PMID33088487
PMCPMC7544771

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.