Intelligent Patient Management
Over the past three decades there has been a rapidly growing interest by Governments and healthcare providers, of most industrialised countries, to improve access and the quality of healthcare. The motivation for such research has been generated by many factors relating to the changing demographics in populations for example the increasing proportion of the elderly in the population and increased longevity, improved medical technologies and rising health aspirations by the general population. Students often argue the feasibility of such research in their scientific works. To present a full-fledged report at a conference, it is sometimes worth using the help of essay experts .
The aim of this track is to build on the success of previous special tracks on Intelligent Patient Management since 2005 and consider the latest research in modelling patient care and resources within a healthcare system using intelligent computational and modeling techniques. The track will seek to encourage the development of intelligent patient management systems from a CBMS perspective. Accordingly, it will bring together academic and industrial researchers with experts from the healthcare and medical fields to discuss the latest advances in modeling patient care and resource management.
Topics of interest to the Intelligent Patient Management track include but are not limited to:
- Healthcare Information Systems
- Decision Support Systems
- Knowledge-based Systems and Data Mining
- Artificial Intelligence
- Management Science techniques
- Hybrid approaches that include statistical techniques
Applications of particular interest include but are not restricted to:
- the modeling of patient flow in hospital and the healthcare system in general
- the modeling of healthcare interventions, and the management of patient care
- the allocation of resources, healthcare expenditure and performance
Download the call for papers | ![]() |
Track Chair(s)
- Adele Marshall, Queen’s University Belfast, UK
- Sally McClean, University of Ulster, UK
Other Special Tracks
- Computational Proteomics and Genomics
- Knowledge Discovery and Decision Systems in Biomedicine
- Technology Enhanced Learning in Medical Education
- Data Streams in Healthcare
- Supporting Collaboration in Healthcare
- Biomedical Image Processing and Informatics
- Medical Robotics
- Assistive Technologies
- Ontologies, Terminologies and Language Processing