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

Authors:
Matthieu-P. Schapranow
Hasso Plattner
Cafer Tosun
Christian Regenbrecht

Keywords: Clinical Decision Support; Personalized Medicine; In-Memory Database Technology; Real- Time Analysis; Business Processes

Abstract:
Personalized medicine aims to treat patients 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 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.

Pages: 129 to 136

Copyright: Copyright (c) IARIA, 2013

Publication date: February 24, 2013

Published in: conference

ISSN: 2308-4359

ISBN: 978-1-61208-252-3

Location: Nice, France

Dates: from February 24, 2013 to March 1, 2013