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Informatics Approach to Improving Surgical Skills Training

Abstract Surgery as a profession requires significant training to improve both clinical decision making and psychomotor proficiency. In the medical knowledge domain, tools have been developed, validated, and accepted for evaluation of surgeons' competencies. However, assessment of the psychomotor skills still relies on the Halstedian model of apprenticeship, wherein surgeons are observed during residency for judgment of their skills. Although the value of this method of skills assessment cannot be ignored, novel methodologies of objective skills assessment need to be designed, developed, and evaluated that augment the traditional approach. Several sensor-based systems have been developed to measure a user's skill quantitatively, but use of s... (more)
Created Date 2013
Contributor Islam, Gazi (Author) / Li, Baoxin (Advisor) / Liang, Jianming (Advisor) / Dinu, Valentin (Committee member) / Greenes, Robert (Committee member) / Smith, Marshall (Committee member) / Kahol, Kanav (Committee member) / Patel, Vimla L (Committee member) / Arizona State University (Publisher)
Subject Bioinformatics / Computer science / Clinical Informatics / Computer Vision / Image Processing / Machine Learning / Minimally Invasive Surgery
Type Doctoral Dissertation
Extent 138 pages
Language English
Reuse Permissions All Rights Reserved
Note Ph.D. Biomedical Informatics 2013
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis