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Title:
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A SCENARIO-BASED APPROACH FOR DESIGNING A STROKE CLINICAL DECISION SUPPORT SYSTEM |
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Author(s):
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Hao-Yun Kao, Li-Min Lin, Yi-Cheng Jhu, Shu-Ching Wang, Jen-Her Wu |
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ISBN:
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978-972-8939-70-0 |
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Editors:
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Mário Macedo |
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Year:
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2012 |
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Edition:
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Single |
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Keywords:
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Stroke, Scenario-Based, Cognitive Fit Theory, Clinical Decision Support Systems, Knowledge Creation |
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Type:
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Short Paper |
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First Page:
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242 |
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Last Page:
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246 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Decision-making is central to the activities of clinical professionals in their dealings with patients. A large body of evidence over many years suggests that clinical decision support systems (CDSSs) can be helpful in improving both clinical outcomes and adherence to evidence based guidelines. Developing a treatment plan for stroke patients and their families requires an understanding of the interactions and dependencies between procedures, and their possible outcomes for an individual patient. This is difficult even for experienced physicians, because it is necessary to keep track of this information as the proposed plan evolves. Therefore, we develop a CDSS which is designed to ameliorate the cognitive load imposed by the planning and communication elements of such medical tasks. In this study, we utilized a scenario-based approach and developed a four-phase model for developing CDSS architectures that focus on: knowledge capture, modeling, storage, and representation. Finally, we conducted usability testing to evaluate the system and improve the system effectiveness. The analysis process and proposed artifact have the potential to benefit physicians. The impacts of CDSS and the effects on the patient outcome remain to be fully understood. Future implementation should build on effective approaches, including the use of system-initiated advice to address safety issues and improve the monitoring of stroke therapy. |
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