Literature DB >> 19192326

An ethical framework for sharing patient data without consent.

Robert Navarro1.   

Abstract

BACKGROUND: There is no consensus on how to share patient records privately. Data privacy concepts are surveyed and a framework is presented for the safe sharing of sensitive data. It is argued that tailoring the data sharing to the privacy breach risks of each project holds out the best compromise for keeping the trust of the public and providing for the best quality data where detailed patient consent is not possible.
OBJECTIVE: To improve the protection of data by reducing privacy breaches and thus enable appropriate patient data sharing without consent. FRAMEWORK: Any harm arising from data sharing must come from the data being identified, either fully or partially. The first step is an agreement on an acceptable privacy breach risk. Next, proceed to measure that risk for the proposed data when held by a given recipient. Finally, select from a menu of mitigation strategies (people, process and technical) to achieve acceptable risk. The framework is tested against the current UK approach administered by the Patient Information Advisory Group. DISCUSSION: The hard problem of non-consented data sharing should be divided into the easier (though non-trivial) ones of data and recipient breach risk measurement. Directed research in these two areas will help move the data sharing problem into the 'solved' pile.

Entities:  

Mesh:

Year:  2008        PMID: 19192326     DOI: 10.14236/jhi.v16i4.701

Source DB:  PubMed          Journal:  Inform Prim Care        ISSN: 1475-9985


  6 in total

1.  Sharing medical data for health research: the early personal health record experience.

Authors:  Elissa R Weitzman; Liljana Kaci; Kenneth D Mandl
Journal:  J Med Internet Res       Date:  2010-05-25       Impact factor: 5.428

2.  Making data sharing work: the FCP/INDI experience.

Authors:  Maarten Mennes; Bharat B Biswal; F Xavier Castellanos; Michael P Milham
Journal:  Neuroimage       Date:  2012-10-30       Impact factor: 6.556

3.  Who shares? Who doesn't? Factors associated with openly archiving raw research data.

Authors:  Heather A Piwowar
Journal:  PLoS One       Date:  2011-07-13       Impact factor: 3.240

4.  Detecting referral and selection bias by the anonymous linkage of practice, hospital and clinic data using Secure and Private Record Linkage (SAPREL): case study from the evaluation of the Improved Access to Psychological Therapy (IAPT) service.

Authors:  Simon de Lusignan; Rob Navarro; Tom Chan; Glenys Parry; Kim Dent-Brown; Tony Kendrick
Journal:  BMC Med Inform Decis Mak       Date:  2011-10-13       Impact factor: 2.796

5.  Genomic electronic health records: opportunities and challenges.

Authors:  Mohammad Al-Ubaydli; Rob Navarro
Journal:  Genome Med       Date:  2009-07-22       Impact factor: 11.117

6.  Development and evaluation of a de-identification procedure for a case register sourced from mental health electronic records.

Authors:  Andrea C Fernandes; Danielle Cloete; Matthew T M Broadbent; Richard D Hayes; Chin-Kuo Chang; Richard G Jackson; Angus Roberts; Jason Tsang; Murat Soncul; Jennifer Liebscher; Robert Stewart; Felicity Callard
Journal:  BMC Med Inform Decis Mak       Date:  2013-07-11       Impact factor: 2.796

  6 in total

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