Semantic Interoperability for Healthcare Big Data:
Challenges and Opportunities
Department of Software Engineering
Ontario – Canada
The present landscape of healthcare is one of escalating costs coupled with an aging population with increasing complexity in concurrent chronic medical illnesses. Care provisioned to these patients relies on data from different sources, such as archives of records with medical history, laboratory test results, diagnostic images, prescribed medication, and data from monitoring equipment and wearables. This enormous amount of complex medical data is treated by most healthcare organizations in isolation.Therefore, solving data semantic interoperability issues is crucial towards integrating health data from different sources and enabling efficient big data analytics. Furthermore, if one agrees that within medical records lies the very heart of clinical impressions and planning, what if a computer can (i) correctly parse and annotate records from medical history; (ii) build high semantic structures out of unstructured medical records from various electronic sources, and (iii) predict clinical contexts, patterns and trends. What actions could then a computer take that benefit the patient, the healthcare team, and all levels of decision makers? This talk addresses the above challenges by presenting an ontological framework for medical documentation processing and analysis, whereby the document is no longer inert to information technology, but a rich source for knowledge acquisition and a road map to drive a wide range of software processes which range from collaborative treatment planning to just-in-time decision support. In particular, we present a new approach to combining benefits of ontology engineering, context processing, and machine learning to address semantic interoperability challenges in healthcare Big data.
Rachid Benlamri is a Professor of Software Engineering at the Faculty of Engineering at Lakehead University, Canada. He obtained his Master and PhD from the University of Manchester - UK. Professor Benlamri is the head of the Semantic Web and Mobile Computing Lab at Lakehead University. His research interests are in the area of Semantic Web, Context-Aware Computing, Ubiquitous Computing and Mobile Knowledge Management. His research is funded by many institutions, such as the Natural Sciences and Engineering Research Council of Canada, Ontario Center of Excellence, Academic Health Science Centers of Ontario, and the Ontario Partnership for Innovations and Commercialization.
He supervised over 70 students and postdoctoral fellows. He served as keynote speaker, and general chair for many international conferences. Professor Benlamri is a member of the editorial board for many international journals, such as the International Journal of Mobile Communications, the International Journal of Emerging Technologies in Web Intelligence, and the International Journal of Business Data Communications and Networking. He has authored/coauthored six books and over 100 papers in refereed journals and conference proceedings.