Published in

La Trobe, 2021

DOI: 10.26181/6018c223d1411

Health Information Management Journal, p. 183335832094119, 2020

DOI: 10.1177/1833358320941190

Links

Tools

Export citation

Search in Google Scholar

A false promise of COVID-19 ‘big’ health data? Health data integrity and the ethics and realities of Australia’s health information management practice

Journal article published in 2020 by Kerin Robinson ORCID
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

Full text: Unavailable

Question mark in circle
Preprint: policy unknown
Question mark in circle
Postprint: policy unknown
Question mark in circle
Published version: policy unknown

Abstract

© The Author(s) 2020. Context: Coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has precipitated an unprecedented volume of medical research. Articles reporting two studies were recently retracted from prestigious journals for reasons including the (thus far) unverifiable provenance of data. This commentary adopts a health information management lens to focus on aspects of data in one of the studies (investigating the use of hydroxychloroquine or chloroquine with or without a macrolide for treatment of COVID-19). The issues: Referencing the Australian context, the current article considers some of the study’s reported hospital administrative and coded data categories within the context of Australian hospitals’ health information management practices. It highlights potential risks associated with the collection and interpretation of ‘big’ health data. Implications: This article identifies pitfalls that confront researchers undertaking multi-country studies and the need to consider country-specific: (i) collected administrative data items; (ii) health information-related ethical, legal and management policy constraints on the use of confidential hospital records and derived data; and (iii) differences in health classification systems and versions used in the coding of diagnoses and related procedures, interventions and health behaviours. Conclusions: The article concludes that the inclusion of a qualified, senior Health Information Manager in research teams and on institutional Human Research Ethics Committees would help to prevent potential problems.