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Leveraging Key Aspects of Collaborative Techniques to Assist Clinical Decisions

Leveraging Key Aspects of Collaborative Techniques to Assist Clinical Decisions
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Author(s): Hoda Moghimi (RMIT University, Australia), Jonathan L. Schaffer (The Cleveland Clinic, USA) and Nilmini Wickramasinghe (Epworth HealthCare, Australia & Deakin University, Australia)
Copyright: 2017
Pages: 17
Source title: Handbook of Research on Healthcare Administration and Management
Source Author(s)/Editor(s): Nilmini Wickramasinghe (Epworth HealthCare, Australia & Deakin University, Australia)
DOI: 10.4018/978-1-5225-0920-2.ch005

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Abstract

Employing collaborative systems in healthcare contexts is an important approach towards designing and developing intelligent computer solutions. The objective of this study is to develop a real-time collaborative system using the Intelligent Risk Detection Model (IRD) to improve decision efficiency for the care of patients undergoing hip and knee arthroplasty (THA, TKA). Expected benefits include increasing awareness, supporting communication, improving decision making processes and also improving information sharing between surgeons, patients, families and consultants as key collaborative parties. The research question under investigation is: How can key information technologies be designed, developed and adopted to support clinical decision making in the context of THA and TKA? This research in progress has identified the value and benefit of developing a systematic and technology supported tool to facilitate the identification of various risks associated with THA and TKA.

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