2017
DOI: 10.2196/resprot.6463
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The Adverse Drug Reactions from Patient Reports in Social Media Project: Five Major Challenges to Overcome to Operationalize Analysis and Efficiently Support Pharmacovigilance Process

Abstract: BackgroundAdverse drug reactions (ADRs) are an important cause of morbidity and mortality. Classical Pharmacovigilance process is limited by underreporting which justifies the current interest in new knowledge sources such as social media. The Adverse Drug Reactions from Patient Reports in Social Media (ADR-PRISM) project aims to extract ADRs reported by patients in these media. We identified 5 major challenges to overcome to operationalize the analysis of patient posts: (1) variable quality of information on … Show more

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Cited by 26 publications
(21 citation statements)
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References 30 publications
(38 reference statements)
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“…Educating health professionals is widely considered a good method to improve reporting, but partnerships with patients’ associations and use of electronic tools (e.g. user-friendly, freely accessible web platforms for reporting ADRs instead of paper forms such as the yellow cards) can also help [ 38 , 39 ].…”
Section: Resultsmentioning
confidence: 99%
“…Educating health professionals is widely considered a good method to improve reporting, but partnerships with patients’ associations and use of electronic tools (e.g. user-friendly, freely accessible web platforms for reporting ADRs instead of paper forms such as the yellow cards) can also help [ 38 , 39 ].…”
Section: Resultsmentioning
confidence: 99%
“…extraction of data that do not fit the purpose), extraction of data from sources of unknown quality, or without authorisation, etc. The ADR-PRISM project [86] identified five major challenges to the operationalisation of social data for pharmacovigilance, namely: (1) variable quality of information on social media, (2) guarantee of data privacy, (3) response to pharmacovigilance expert expectations, (4) identification of relevant information within web pages and (5) robust and evolutionary architecture.…”
Section: Current Challenges and The Way Forwardmentioning
confidence: 99%
“…The collection of more case data relating to possible causation is needed [120]. Further research is required towards the development of a comprehensive approach to combining evidence from multiple social media, while considering the level of trust in each source [57,86]. To describe the process, Adjeroh et al [121] employ the term signal fusion stating the diversity of social media sources, noise, data redundancy and correlation between sources as its major challenges.…”
Section: Analysis Of Social Datamentioning
confidence: 99%
See 1 more Smart Citation
“…Artificial intelligence may be able to make this process automatic. The use of social media, especially by patients, to post information on drug events is now a major source of data [31]. Controversy as to the ethical utilization of these sources and other "big data" may limit access.…”
mentioning
confidence: 99%