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http://hdl.handle.net/11434/1837
Title: | Leveraging key aspects of collaborative techniques to assist clinical decision making: The case of hip and knee arthroplasty. |
Epworth Authors: | Wickramasinghe, Nilmini de Steiger, Richard |
Other Authors: | Moghimi, Hoda Haddad, Peter Schaffer, Jonathan |
Keywords: | Surgery Decision Making Decision Support Systems Collaborative Systems Clinical Decision Making Intelligent Computer Solutions Intelligent Risk Detection Model Design Science Research Methodology Hip and Knee Arthroplasty Chair of Health Informatics Management, Epworth HealthCare, Victoria, Australia Musculoskeletal Clinical Institute, Epworth HealthCare, Victoria, Australia |
Issue Date: | Jan-2015 |
Conference Name: | 48th Hawaii International Conference on System Sciences (HICSS) |
Conference Location: | Hawaii, USA |
Abstract: | Employing collaborative systems in healthcare contexts has been explored as an important approach towards designing and developing intelligent computer solutions. This approach is concerned with identify the way in which information and decisions are assembled in the collaboration of care parties. In this regards, this study is conducted to develop a real-time collaborative system using an Intelligent Risk Detection Model (IRD) to improve decision efficiency in the case of Hip and Knee Arthroplasty. The benefits of adopting this solution include increasing awareness, supporting communication, improving decision making process and also improving information sharing between surgeons as key collaborative parties in the research case. This paper presents outcomes of an on-line survey and focus group using Design Science Research Methodology (DSRM) to identify requirements of designing the system. It will be then possible to develop the prototype. |
URI: | http://hdl.handle.net/11434/1837 |
DOI: | 10.1109/HICSS.2015.101 |
Type: | Conference Paper |
Affiliated Organisations: | RMIT University, Melbourne, Victoria, Australia Cleveland Clinic, Cleveland, Ohio, USA |
Appears in Collections: | Health Informatics Musculoskeletal |
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