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In this work we describe pyEHR, a new toolkit for building scalable clinical/phenotypic data management systems for biomedical research applications. The toolkit uses openEHR formalisms to guarantee the decoupling of clinical data descriptions from implementation details, and NoSQL technologies, or next-generation SQL ones, to provide scalable storage back-ends.doi:10.1109/healthcom.2014.7001871 dblp:conf/healthcom/LianasFDAZ14 fatcat:7udkn2uqifaibdny7tratdos6q