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Electronic Health Records, social media and search logs future role in pharmacovigilance
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences.
2018 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Introduction: Adverse Drug Reactions (ADR) are causing mortality and morbidity in our society. It is there for important that post-marketing surveillance systems are well functioning. The most common system is the spontaneous reporting system, but because of problems with under-reporting, other possible ADR detection strategies are being explored. Using big data sources could be valuable in the future post-marketing surveillance of drugs. Aim: This study’s aim is to get a better understanding on Electronic Health Records (EHR), social media and search logs possible contribution in the future post-marketing surveillance. Method: This study is based on relevant primary articles, mainly collected from the PubMed database. Result: A study analyzing EHR showed that Cilastazols black box warning may be inadequate. A study analyzing twitter and FDA Adverse Event Reporting System (FAERS) displayed almost three times more Adverse Events (AE) in Twitter. Another study demonstrated social medias real-time monitoring and showed that it could lead to earlier detection of AE than using FAERS. Combining FAERS and search logs have led to a 19% better identification of ADR. Conclusion: Possible areas for the big data sources in the future is to improve the accuracy in black box warnings, explore specific treatments and to use it in combination with traditional systems. Big Data’s large volume and its real-time monitoring are characteristics that could be useful in the future surveillance. Its limitation are the ethical and technical issues, which needs to be discussed and handled before fully implementing these sources in the future.

Place, publisher, year, edition, pages
2018. , p. 32
National Category
Medical and Health Sciences Pharmacology and Toxicology
Identifiers
URN: urn:nbn:se:uu:diva-351863OAI: oai:DiVA.org:uu-351863DiVA, id: diva2:1211458
Educational program
Master Programme in Drug Management
Supervisors
Examiners
Available from: 2019-12-09 Created: 2018-05-30 Last updated: 2019-12-09Bibliographically approved

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CiteExportLink to record
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Citation style
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  • nn-NB
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Output format
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