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Analysis of three Twitter hashtags for discussion of personal electronic health records

Palmer, Stuart and Hemsley, Bronwyn 2018, Analysis of three Twitter hashtags for discussion of personal electronic health records, in ECSM 2018 : Proceedings of the 5th European Conference on Social Media, Academic Conferences and Publishing International Limited, Reading, Eng., pp. 236-245.

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Title Analysis of three Twitter hashtags for discussion of personal electronic health records
Author(s) Palmer, StuartORCID iD for Palmer, Stuart orcid.org/0000-0002-2517-0597
Hemsley, Bronwyn
Conference name Limerick Institute of Technology. Conference (5th : 2018 : Limerick, Ireland)
Conference location Limerick, Ireland
Conference dates 2018/06/21 - 2018/06/22
Title of proceedings ECSM 2018 : Proceedings of the 5th European Conference on Social Media
Editor(s) Cunnane, Vincent
Corcoran, Niall
Publication date 2018
Series Limerick Institute of Technology Conference
Start page 236
End page 245
Total pages 10
Publisher Academic Conferences and Publishing International Limited
Place of publication Reading, Eng.
Keyword(s) electronic health records
social media
Twitter
hashtags
text analytics
social network analysis
Summary Electronic health records (EHRs) are an important e-health technology and have the potential to greatly improve the efficiency and quality of health services. However, the implementation of EHRs has had mixed success internationally. Increasingly, governments, health service providers and the public are turning to social networking systems (SNSs) for communicating about EHRs. Social media, including Twitter (twitter.com), have also been used in relation to EHR implementation. Thus, Twitter provides a useful case example for an exploration of the ways that SNSs are being used to communicate information about EHRs. The Australian personally controlled electronic health record, My Health Record (MyHR), is a repository of summary health information about patients which is stored online, and which patients can choose to share with their health providers. In this paper, an investigation of the representation of Australia’s MyHR on Twitter via a data set of 6191 tweets associated with three specific hashtags related to the EHR and reflecting its official names since 2012 (i.e., #PCEHR, #MyHealthRecord and #MyHR) is reported. Time sequence analysis, text analytics and network visualisation were employed to characterise the Twitter activity and content, and to identify influential users and their relationships. The text content of tweets using these hashtags spanned positive/supportive, neutral/factual and negative/opposing themes regarding EHRs. Text visualisation highlighted six accounts that were active and also mentioned frequently in tweets. In particular, three of these accounts were always ranked in the top ten on several measures of activity and interactivity, so could be considered highly influential. Network visualisation of the connections between accounts, represented by tweets from senders to those mentioned, revealed associations between some prominent accounts and their publicly-stated stance on EHRs. This information could be used to inform future use of SNSs, and optimal use of Twitter in particular, in the propagation and distribution of information relating to EHRs and their implementation.
ISBN 978-1-911218-83-8
Language eng
Field of Research 111711 Health Information Systems (incl Surveillance)
080709 Social and Community Informatics
Socio Economic Objective 920403 Disability and Functional Capacity
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Grant ID G1083566
Copyright notice ©2018, The Authors
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30109918

Document type: Conference Paper
Collections: School of Engineering
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.