Secondary use of routine data in hospitals: description of a scalable analytical platform based on a business intelligence system.

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ID: 87201
2018
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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.
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roth2018secondaryjamia Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Jan A Roth, Nicole Goebel, Thomas Sakoparnig, Simon Neubauer, Eleonore Kuenzel-Pawlik, Martin Gerber, Andreas F Widmer, Christian Abshagen, Rakesh Padiyath, Balthasar L Hug
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Journal JAMIA open
Year 2018
DOI
10.1093/jamiaopen/ooy039
URL
Keywords
Machine learning health information systems health services research database management systems high performance analytic appliance (hana)

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