New strategies for medical data mining, part 2: the customizable productivity pacer.
Publication/Presentation Date
1-1-2011
Abstract
With continuing efforts to reduce medical reimbursements, many radiology service providers have reacted by increasing productivity to maintain revenue. This continuing push to increase speed carries the risk for diminished quality in the form of diagnostic accuracy. Data mining offers the potential to synergistically improve both productivity and quality, through the combined analysis of examination complexity, interpretation accuracy, and interpretation times specific to each individual radiologist. The resulting technology can in turn be used to create external pacers, which can be customized to the individual needs and preferences of each radiologist. The derived data can also be used to identify best-practice patterns and end-user performance, which can in turn be used by radiologists for individualized education and training.
Volume
8
Issue
1
First Page
33
Last Page
38
ISSN
1558-349X
Published In/Presented At
Reiner B. (2011). New strategies for medical data mining, part 2: the customizable productivity pacer. Journal of the American College of Radiology : JACR, 8(1), 33–38. https://doi.org/10.1016/j.jacr.2010.06.018
Disciplines
Diagnosis | Medicine and Health Sciences | Other Analytical, Diagnostic and Therapeutic Techniques and Equipment | Radiology
PubMedID
21211762
Department(s)
Department of Radiology and Diagnostic Medical Imaging
Document Type
Article