pyEHR: A scalable clinical data management toolkit for biomedical research projects

Luca Lianas, Francesca Frexia, Giovanni Delussu, Paolo Anedda, Gianluigi Zanetti
2014 2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)  
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