SCALPEL3: a scalable open-source library for healthcare claims databases

Published in arXiv preprint, 2019

E. Bacry,, S. Gaïffas, F. Leroy, M. Morel, D. P. Nguyen, Y. Sebiat and D. Sun

This article introduces SCALPEL3, a scalable open-source framework for studies involving Large Observational Databases (LODs). Its design eases medical observational studies thanks to abstractions allowing concept extraction, high-level cohort manipulation, and production of data formats compatible with machine learning libraries. SCALPEL3 has successfully been used on the SNDS database, a huge healthcare claims database that handles the reimbursement of almost all French citizens.

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