Literature DB >> 32457202

Should free-text data in electronic medical records be shared for research? A citizens' jury study in the UK.

Elizabeth Ford1, Malcolm Oswald2, Lamiece Hassan3, Kyle Bozentko4, Goran Nenadic5, Jackie Cassell6.   

Abstract

BACKGROUND: Use of routinely collected patient data for research and service planning is an explicit policy of the UK National Health Service and UK government. Much clinical information is recorded in free-text letters, reports and notes. These text data are generally lost to research, due to the increased privacy risk compared with structured data. We conducted a citizens' jury which asked members of the public whether their medical free-text data should be shared for research for public benefit, to inform an ethical policy.
METHODS: Eighteen citizens took part over 3 days. Jurors heard a range of expert presentations as well as arguments for and against sharing free text, and then questioned presenters and deliberated together. They answered a questionnaire on whether and how free text should be shared for research, gave reasons for and against sharing and suggestions for alleviating their concerns.
RESULTS: Jurors were in favour of sharing medical data and agreed this would benefit health research, but were more cautious about sharing free-text than structured data. They preferred processing of free text where a computer extracted information at scale. Their concerns were lack of transparency in uses of data, and privacy risks. They suggested keeping patients informed about uses of their data, and giving clear pathways to opt out of data sharing.
CONCLUSIONS: Informed citizens suggested a transparent culture of research for the public benefit, and continuous improvement of technology to protect patient privacy, to mitigate their concerns regarding privacy risks of using patient text data. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.

Entities:  

Keywords:  healthcare; medical text; natural language processing; privacy; stakeholder participation; text mining

Year:  2020        PMID: 32457202     DOI: 10.1136/medethics-2019-105472

Source DB:  PubMed          Journal:  J Med Ethics        ISSN: 0306-6800            Impact factor:   2.903


  7 in total

1.  Public opinion on sharing data from health services for clinical and research purposes without explicit consent: an anonymous online survey in the UK.

Authors:  Linda A Jones; Jenny R Nelder; Joseph M Fryer; Philip H Alsop; Michael R Geary; Mark Prince; Rudolf N Cardinal
Journal:  BMJ Open       Date:  2022-04-27       Impact factor: 3.006

Review 2.  Public governance of medical artificial intelligence research in the UK: an integrated multi-scale model.

Authors:  Francis McKay; Bethany J Williams; Graham Prestwich; Darren Treanor; Nina Hallowell
Journal:  Res Involv Engagem       Date:  2022-05-21

3.  Toward the Development of Data Governance Standards for Using Clinical Free-Text Data in Health Research: Position Paper.

Authors:  Kerina H Jones; Elizabeth M Ford; Nathan Lea; Lucy J Griffiths; Lamiece Hassan; Sharon Heys; Emma Squires; Goran Nenadic
Journal:  J Med Internet Res       Date:  2020-06-29       Impact factor: 5.428

4.  Health data research on sudden cardiac arrest: perspectives of survivors and their next-of-kin.

Authors:  Marieke A R Bak; Rens Veeken; Marieke T Blom; Hanno L Tan; Dick L Willems
Journal:  BMC Med Ethics       Date:  2021-01-28       Impact factor: 2.652

5.  Public Perspectives of Using Social Media Data to Improve Adverse Drug Reaction Reporting: A Mixed-Methods Study.

Authors:  Alexander Bulcock; Lamiece Hassan; Sally Giles; Caroline Sanders; Goran Nenadic; Stephen Campbell; Will Dixon
Journal:  Drug Saf       Date:  2021-02-13       Impact factor: 5.606

Review 6.  Different Data Mining Approaches Based Medical Text Data.

Authors:  Wenke Xiao; Lijia Jing; Yaxin Xu; Shichao Zheng; Yanxiong Gan; Chuanbiao Wen
Journal:  J Healthc Eng       Date:  2021-12-06       Impact factor: 2.682

7.  The Potential of Research Drawing on Clinical Free Text to Bring Benefits to Patients in the United Kingdom: A Systematic Review of the Literature.

Authors:  Elizabeth Ford; Keegan Curlewis; Emma Squires; Lucy J Griffiths; Robert Stewart; Kerina H Jones
Journal:  Front Digit Health       Date:  2021-02-10
  7 in total

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