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Visual Clinical Practice Guidelines

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Visual Clinical Practice Guidelines CPGmap: Visualization for Clinical practice guideline

Yang Wenwen

a

Jen Chiang

ab

Wen-Wen Yang

a,

I-Jen Chiang

ab

a

Institute of Medical Informatics, Taipei Medical University

b

Institute of Biomedical Engineering National Taiwan University

a

Institute of Medical Informatics, Taipei Medical University

b

Institute of Biomedical Engineering, National Taiwan University

Clinical Practice Guidelines of consistency is seen as improving quality of care and cost containment tool. However, in the

promotion and implementation process, the medical staff are faced with many difficulties, particularly in the care point can not provide the available Clinical Practice Guidelines, all kinds of problems faced by patients, but to search for clinical diagnosis and treatment-by- page manual to search for further The literature suggests, often very convenient. Many scholars have made the honor

computerization can improve the situation. Therefore, this study proposes a computerized clinical guidelines for diagnosis and visualization methods to supplement the shortage of traditional paper.

Keywords: Clinical Practice Guidelines, visualization

Medical beneficences for Clinical practice guidelines are systematically developed

to improve quality and to control costs by minimizing practice discrepancy, reducing

errors, and promoting best practices. While guideline being performed, there are

many barriers, including gaps and inconsistencies, inertia associated with traditional

practice behavior and lack of incentives to change, etc .. In addition to these non-

technical issues, accessible guideline content at the point care is critical; searching

pages of text to locate a recommendation for a patient is very in-convenient and in-

efficient. A way to ease the use of guidelines and display is to implement

(2)

computerized and visualized guidelines. We present a method of computerizing and visualizing guideline. Our CPGmap is based on java combined with the techniques of hyperbolic tree and tree map.

Keywords: Clinical practice guidelines, Visualization, Hyperbolic tree, Tree map

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