- 3-year project (2014-2016)
- Project financed by the French Single Interministerial Fund (FUI)
- Consortium of 9 partners (5 from public sector, 4 from private sector)
- Keywords: social web, unstructured textmining, adverse drug effects, pharmacovigilance.
Side effects that are likely to be related to drugs render a major public health problem. Pharmacovigilance is the discipline that aims to analyze these adverse effects, explain and implement measures for their prevention.
Recent events showed the limits the monitoring system and the difficulty of managing health information and cultural gaps in pharmacovigilance. In recent years, new European and French health guidelines have been established. This aim to strengthen the structures responsible for pharmacovigilance, to have better information on the safety of medicines, in particular by increasing the patient empowerment, improve the decision-making chain with regard to the evaluation of the benefit/risk of medicines, and finally to develop a structure to centralize all side effects. Moreover, the rise of new information technologies profoundly changed the practitioner-patient relationship. Patients will search the Internet for information and share their experiences especially in terms of prescribed drugs and side effects experienced.
The ADR-PRISM project aims to make available to pharmacovigilance teams an untapped source of knowledge (except for some few experiments by research teams): patient messages in forums and other places of discussions over the Internet.
The integration of these data will generate new hypotheses about side effects reported by patients, who are new or poorly documented in official information and/or already existing on drugs. Given the volume of information from patients collected from the various forms of exchange on the web, this use case is a Big data application.