Literature DB >> 18672492

Assessing system performance.

Eleanor I Bucholz1, James R Duncan.   

Abstract

Measuring system performance during image-guided procedures is difficult but necessary if the safety, quality, and efficiency of interventional radiology are to be improved. Because overall performance during these procedures is directly related to the operator's skill, this article will focus on how observable manifestations of skill can be elicited and analyzed. The discussion includes issues encountered when the results of "high-stakes" tests such as board certification are used to predict future system performance. The underlying theme is that process improvement uses the scientific method to gain knowledge of a system. The successive cycles of "predict-test-analyze-decide" found in any training program generate an expanding knowledge base that leads to measurable improvements in system performance.

Mesh:

Year:  2008        PMID: 18672492     DOI: 10.1016/j.jvir.2008.03.018

Source DB:  PubMed          Journal:  J Vasc Interv Radiol        ISSN: 1051-0443            Impact factor:   3.464


  3 in total

1.  Creating and evaluating a data-driven curriculum for central venous catheter placement.

Authors:  James R Duncan; Katherine Henderson; Mandie Street; Amy Richmond; Mary Klingensmith; Elio Beta; Andrea Vannucci; David Murray
Journal:  J Grad Med Educ       Date:  2010-09

2.  Objective assessment of operator performance during ultrasound-guided procedures.

Authors:  David M Tabriz; Mandie Street; Thomas K Pilgram; James R Duncan
Journal:  Int J Comput Assist Radiol Surg       Date:  2011-01-04       Impact factor: 2.924

Review 3.  Improving Performance During Image-Guided Procedures.

Authors:  James R Duncan; David Tabriz
Journal:  J Patient Saf       Date:  2015-12       Impact factor: 2.844

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.