Evidence map›Paper›PMID 29691211›Full record

ArticleJMIR medical informatics2018

Developing a Third-Party Analytics Application Using Australia's National Personal Health Records System: Case Study.

Niranjan Bidargaddi, Yasmin van Kasteren, Peter Musiat, Michael Kidd

Abstract read
In one paragraph

Article in JMIR medical informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Automated Workflow for Usability Audits in the PHR Realm.International journal of environmental research and public health · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. A Study on the Relationship between Usability of GUIs and Power Consumption of a PC: The Case of PHRs.International journal of environmental research and public health · 2021
    Article
  10. Article
  11. Article
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

4 authors.

Niranjan BidargaddiDigital Psychiatry & Personal Health Informatics Lab, College of Medicine and Public Health, Flinders University, Adelaide, Australia.ORCID http://orcid.org/0000-0003-2868-9260
Yasmin van KasterenFlinders Digital Health Centre, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia.ORCID http://orcid.org/0000-0002-8905-5934
Peter MusiatDigital Psychiatry & Personal Health Informatics Lab, College of Medicine and Public Health, Flinders University, Adelaide, Australia.ORCID http://orcid.org/0000-0001-7439-0441
Michael KiddDepartment of Family & Community Medicine, University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-0221-1245

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMy Health Record (MyHR) is Australia's national electronic health record (EHR) system. Poor usability and functionality have resulted in low utility, affecting enrollment and participation rates by both patients and clinicians alike. Similar to apps on mobile phone app stores, innovative third-party applications of MyHR platform data can enhance the usefulness of the platform, but there is a paucity of research into the processes involved in developing third-party applications that integrate and use data from EHR systems.

objectiveThe research describes the challenges involved in pioneering the development of a patient and clinician Web-based software application for MyHR and insights resulting from this experience.

methodsThis research uses a case study approach, investigating the development and implementation of Actionable Intime Insights (AI

resultsThe study presents a nuanced understanding of different data types and quality of data in MyHR and the complexities associated with developing secondary-use applications. Regulatory requirements associated with utilization of MyHR data, restrictions on visualizations of data, and processes of testing third-party applications were encountered during the development of the application.

conclusionsThis study identified several processes, technical and regulatory barriers which, if addressed, can make MyHR a thriving ecosystem of health applications. It clearly identifies opportunities and considerations for the Australian Digital Health Agency and other national bodies wishing to encourage the development of new and innovative use cases for national EHRs.

Indexed as

computer software applicationselectronic health recordmedication compliancesoftware design

Identifiers

PMID29691211
PMCPMC5941094

What OpenQuestion holds

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LicenceCC BY
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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.