A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
pyEHR: A scalable clinical data management toolkit for biomedical research projects
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