eVeCrawl : the « Google » of adverse effects.
Patients are at the heart of new pharmacovigilance data sources and « Big Data » is taking a prominent place in the value chain of pharmaceutical industries.
Internet is disrupting the doctor-patient relationship, and classic pharmacovigilance as we know it is being enhanced by data from social networks. Although it is sometimes difficult to take advantage of patient's words, it is nevertheless a source of information and a relevant sort of signal detection can be, most often relevant (drug interactions, compliance, misuse... etc.).
eVeCrawl is a tool dedicated to pharmacovigilance, adaptable for any workstation, and allowing the search on social networks for information about drugs and their adverse effects. Its use is similar to that of any Internet browser whose results are not websites but posts on social networks.
eVeCrawl can be connected to major networks (Twitter, Doctissimo) and to any discussion forum, on request.
eVeCrawl integrates the drug databases of each national health agency (ANSM in France), as well as the first French dictionary of « patient talk » allowing us to better target the information provided by the networks.
Simple functionalities allow you to suppose the popularity of a drug on the web (its appearance), to include (or not) the RT (retweet) or to refine your research: Am I interested in the e-Reputation of a drug (its perception towards the public) ? Do I want to go further and collect the adverse reactions present on the web?
Multiple criteria can be defined to target a drug, an adverse reaction, or to combine drug and effect... then to get the history of exchanges, conversations and comments of Internet users.
Moreover, you can create « clusters » grouping posts by degree of relevance, theme or potential risks related to a specific subject.
In accordance with the General Data Protection Regulations (GDPR), eVeCrawl is hosted by a Personal Health Data Host (HDS).
This tool does not retrieve information that could potentially identify the person.
Finally, manufacturers and academics whom have the pharmacovigilance database eVeReport, can import data from eVeCrawl and run them with the Quantitative (graphic method) or Qualitative (PRR Ki2 statistical method) signal detection methods currently used at the European Medicines Agency (EMA).