Improving the Use of Big Data Analytics within Electronic Health Records: A Case Study based OpenEHR

Recently there has been an increasing adoption of electronic health records (EHRs) in different countries. Thanks to these systems, multiple health bodies can now store, manage and process their data effectively. However, the existence of such powerful and meticulous entities raise new challenges and issues for health practitioners. In fact, while the main objective of EHRs is to gain actionable big data insights from the health workflow, very few physicians exploit widely analytic tools, this is mainly due to the fact of having to deal with multiple systems and steps, which completely discourage them from engaging more and more. In this paper, we shed light and explore precisely the proper adaptation of analytical tools to EHRs in order to upgrade their use by health practitioners. For that, we present a case study of the implementation process of an EHR based OpenEHR and investigate health analytics adoption in each step of the methodology. (C) 2018 The Authors. Published by Elsevier B.V.