Authors:
Vassiliki Karabetsou
1
and
Flora Malamateniou
2
Affiliations:
1
University of Pireaus, Greece
;
2
University of Piraeus, Greece
Keyword(s):
Big Data, Healthcare, Process-Oriented, Workflow, Learning Analytics, e-Learning.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Design and Development Methodologies for Healthcare IT
;
Health Information Systems
Abstract:
Big data technology promise to transform the way in which medical care is delivered and help the healthcare industry to address problems related to variability in healthcare quality and escalating healthcare costs. However, integrating Big Data use in healthcare professionals’ daily practice seems to be a challenging task as they are accustomed to making treatment decisions independently, using their own clinical judgement, rather than relying on protocols based on big data. Taking medical decisions based on Big Data - combined with physicians’ valuable clinical knowledge and experience - can lead them to safer and more accurate diagnosis and focused treatments. In order to support this transformation in medical practice healthcare professionals (e.g. physicians, nurses, pharmacists) will need to be trained in the collection, integration and analysis of large data sets. To this end, this paper presents a process-oriented e-learning system which aims at making healthcare professional
s understand how to use big data tools and giving them the necessary skills to improve operations. The system uses workflow technology and Learning Analytics which has been specifically planned for learners’ custom needs.
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