Israeli Multinational Pharma Company

Fresh Gravity worked closely with the pharmacovigilance team to document all the business rules used today to extract information from safety cases. We successfully extracted 11 different entities from ArisG where accuracy of extraction was more than 90%.

Problem

The client has spent significant amount of time reviewing its PhV database to extract information and assemble causality analysis to determine if their drugs caused patient injuries. Regulators request the client to generate safety reports when there are spikes or concerns triggered by safety cases being reported.

Solution

Fresh Gravity worked with the pharmacovigilance team to document all the business rules used today to extract information from safety cases. Our team also documented all the business rules and used them as a starting point for extracting text. We used word embeddings to identify and extract entities for unstructured data and documented all the business rules and used those rules as a starting point for extracting text.

Impact

Fresh Gravity successfully extracted 11 different entities from ArisG with a high degree of accuracy (in most cases accuracy of extraction was more than 90%). We also automated the DILI Causality Scoring which enabled the client to save ~ 2 FTEs for a period of 2 months each time a regulator triggered this review.