Abstract
Systems medicine is a data-oriented approach in research and clinical practice to support study and treatment of complex diseases. It relies on well-defined information management processes providing comprehensive and up to date information as basis for electronic decision support. The authors suggest a three-layer information technology (IT) architecture for systems medicine and a cyclic data management approach including a knowledge base that is dynamically updated by extract, transform, and load (ETL) procedures. Decision support is suggested as case-based and rule-based components. Results are presented via a user interface to acknowledging clinical requirements in terms of time and complexity. The systems medicine application was implemented as a prototype.
©2017 Matthias Ganzinger et al., published by De Gruyter
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