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2018 Abstracts to the Programme

Title: Patient-generated health data (Social Media) is a potential source for ADR reporting

Presenter: Keyrus Biopharma, ERWAN LE COVEC

Presentation Slides: Click here to access

Organisation: Keyrus Biopharama


Social media in Pharmacovigilance science has a crucial influence and visible role on public health protection, evaluating the medicines products’ benefits versus potential risk.
Social media are computer-mediated technologies that facilitate the creation and sharing of information and an important data source for adverse drug reaction (ADR) and can help to reduce under-reporting in product post-marketing phase. Their application is subjected to some challenges as the data can be inconsistent, unstructured and represent a huge volume.
This paper proposes an automated approach that enables effective ADR detection and extraction from social media, focusing on Twitter® and Reddit® forum. Automated solution to manage unstructured received data in a huge volume is proposed (relevant unpublished data will be provided). This method, which is still under evaluation, will effectively extract ADR in targeted social media sources and is compliant for multiple ones. Facing social media data ‘inconsistency’, it requires implementation of manual revision.

Learning Objective 1: Discover possibilities and limitation of using social media as potential source for ADR reporting

Learning Objective 2: Discover how to extract potential ADR from social media

Learning Objective 3:


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