|
Ontologies and the Semantic-Web for Healthcare Services
|
Abstract
|
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 complex medical documentation consisting of data of different nature, including unstructured/semi-structured text that occurs in silos.
Therefore, if one agrees that within medical documentation lies the very heart of clinical impressions and planning, what if a computer can (i) correctly parse and annotate medical documentation;
(ii) build high semantic structures out of unstructured documents from various electronic sources, and (iii) predict clinical contexts.
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 Model Driven Software Development (MDSD), ontology engineering, and context processing to address current challenges of medical documentation processing for healthcare collaboration.
|
Aims and Learning Objectives
|
- To present an overview of the challenges and state-of-the-art research in the area of clinical informatics
- To provide surveys about recent development in ontology design and engineering in healthcare informatics
- To provide comprehensive reviews of medical documentation processing and analysis
|
Target Audience
|
- Health Informatics Professionals
- Specialists in Public Health
- Scientists & Researchers with shared interests in:
- Semantic Web Technologies
- Healthcare Informatics
- Knowledge Management & Engineering
- Artificial Intelligence
|
Duration
|
1.5 hours
|
Biography of Prof. Rachid Benlamri
|
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, Mobile Knowledge Management, and Semantic Video Analysis. His research is supported by many funding institutions such as the Natural Sciences and Engineering Research Council of Canada (NSERC), Ontario Center of Excellence, Connect Canada, Northern Ontario Heritage Fund Corporation (NOHFC), Academic Health Science Centers (AHSC) of Ontario, and the Ontario Partnership for Innovations and Commercialization (OPIC). He supervised over 70 students and postdoctoral fellows. He served as keynote speaker for many international conferences. Professor Benlamri is the general chair for the International Conference on Web and Open Access to Learning (ICWOAL'2014) to be held in Dubai in November 25-27, 2014. He also served as the general chair for the 6th Joint IFIP Wireless and Mobile Networking Conference (WMNC2013), the 4th International Conference on Networked Digital Technologies (NDT'2012), and the 5th International Conference on Digital Information Management (ICDIM2010). Prof. Benlamri is an Associate Editor for the International Journal of Ubiquitous Learning, and member of the editorial board of many other journals such as the International Journal of Learning Technologies, the International Journal of Mobile Communications, the International Journal of Emerging Technologies in Web Intelligence, and the International Journal of Electronic Government.
|
Contacts
|
e-mail: data.secretariat@insticc.org
|