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An EHR Platform for Realizing Precision Medicine in Emergency Care

Authors:
Vassiliki Koufi
Flora Malamateniou
George Vassilacopoulos

Keywords: EHR; precision medicine; emergency care; healthcare analytics

Abstract:
Precision medicine has emerged as a new field that facilitates the discovery of individualized diagnostic and treatment plans for patients based on the way their unique characteristics may dictate disease response or progression. Despite its potential, there are several settings where precision medicine remains more aspiration than reality. One such setting is emergency care where physicians are called upon initiating investigations and interventions to diagnose and/or treat patients in the acute phase and making decisions regarding a patient's need for hospital admission, observation, or discharge. In this effort, emergency physicians usually have little or no information at hand. The convergence of healthcare data with multi-omics and real-world data heralds a new era where an individualized approach to emergency care seems feasible. Especially, with the latest technological innovations, physicians can be provided with patient healthcare data and tools for the analysis of these data against the various genomically and phenotypically defined patients/citizens. This paper presents a cloud-based emergency care delivery platform that incorporates an Electronic Health Record (EHR) with the aforementioned features to meet the needs of emergency care practitioners. The platform aims at bridging the translational gap between bench and bedside and moving towards a realization of personalized and stratified medicine by discovering associations between disease and genetic, environmental or process measures.

Pages: 25 to 30

Copyright: Copyright (c) IARIA, 2018

Publication date: October 14, 2018

Published in: conference

ISSN: 2519-8491

ISBN: 978-1-61208-675-0

Location: Nice, France

Dates: from October 14, 2018 to October 18, 2018