Secondary use of routine data in hospitals: description of a scalable analytical platform based on a business intelligence system.
Roth, Jan A;Goebel, Nicole;Sakoparnig, Thomas;Neubauer, Simon;Kuenzel-Pawlik, Eleonore;Gerber, Martin;Widmer, Andreas F;Abshagen, Christian;Padiyath, Rakesh;Hug, Balthasar L;, ;
JAMIA open2018Vol. 1pp. 172-177
281
roth2018secondaryjamia
Abstract
We describe a scalable platform for research-oriented analyses of routine data in hospitals, which evolved from a state-of-the-art business intelligence architecture for enterprise resource planning. This platform involves an in-memory database management system for data modeling and analytics and a high-performance cluster for more computing-intensive analytical tasks. Setting up platforms for research-oriented analyses is a highly dynamic, time-consuming, and costly process. In some health care institutions, effective research platforms may be derived from existing business intelligence systems.