Data Streams in Healthcare
Please note that Data Streams in Healthcare is now part of the Streams, Signals and Visualization sub-track.
The aging population phenomenon together with community based care models is driving the need for healthcare to seek support for the capture, collection, transmission, real time assessment, storage and data mining of data presented as data streams. A plethora of medical devices in healthcare facilities, within the home and even within clothing is generating data streams at frequencies up to 1000 readings a second. Services Computing has been described as a cross-discipline that covers the science and technology of bridging the gap between Business Services and IT Services supported by Web services and service-oriented architecture (SOA), transformation and integration. Healthcare is often perceived to lag behind other industry sectors in its uptake and adoption of new technology. Opportunities abound for the unique aspects of data stream models in healthcare to drive fundamental computing and IT research together with leading applied research within the healthcare domain.
This special track invites papers with research contributions in the domain of Data Streams in Healthcare. The topics include but are not limited to:
- Trends and Challenges of SOA for Data Streams in Healthcare
- Barriers to adoption of SOA for Data Streams in Healthcare
- SOA for Data Streams in Healthcare Methodologies
- Legal and Regulatory requirements concerning SOA for Data Streams in Healthcare
- New models of healthcare delivery supported by SOA for Data Streams in Healthcare
- Services performance issues (e.g. Availability, Reliability and Security)
- Management and monitoring of SOA for Data Streams in Healthcare
- The integration of patient journey modeling with SOA for Data Streams in Healthcare
- Case Studies in SOA for Data Streams in Healthcare
Track Chair(s)
- Carolyn McGregor, University of Ontario Institute of Technology, Canada
Other Special Tracks
- Computational Proteomics and Genomics
- Knowledge Discovery and Decision Systems in Biomedicine
- Technology Enhanced Learning in Medical Education
- Intelligent Patient Management
- Supporting Collaboration in Healthcare
- Biomedical Image Processing and Informatics
- Medical Robotics
- Assistive Technologies
- Ontologies, Terminologies and Language Processing