Data interchange using i2b2.
Reinventing data extraction from electronic health records (EHRs) to meet new analytical needs is slow and expensive. However, each new data research network that wishes to support its own analytics tends to develop its own data model. Joining these different networks without new data extraction, transform, and load (ETL) processes can reduce the time and expense needed to participate. The Informatics for Integrating Biology and the Bedside (i2b2) project supports [...]
Author(s): Klann, Jeffrey G, Abend, Aaron, Raghavan, Vijay A, Mandl, Kenneth D, Murphy, Shawn N
DOI: 10.1093/jamia/ocv188