Mobile Real-time Analysis of Patient Data for Advanced Decision Support in Personalized Medicine
Matthieu-P. Schapranow, Hasso Plattner, Christian R. A. Regenbrecht · 2013
Abstract—Personalized medicine aims to treat pa-tients specifically with respect to their individual dis-positions. 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 ap-plication "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.