Mobile Real-time Analysis of Patient Data for Advanced Decision Support in Personalized Medicine

Personalized medicine aims to treat patients specifically with respect to their individual dispositions. For that, researchers and physicians require a holistic view on all relevant patient specifics when making treatment decisions. We present our findings of applying in-memory database technology to enable real-time analysis of individual patient and cohort data. In this contribution, we describes the mobile application "Oncolyzer" that provides a holistic view on individual patient data and enables flexible analysis of cohort data on mobile devices. It opens flexible access to relevant patient data on the hospital campus when time-critical treatment decisions need to be made. Keywords-Clinical Decision Support; Personalized Medicine; In-Memory Database Technology; RealTime Analysis; Business Processes

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