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Proceedings Paper

Automated breast imaging-reporting and data system (BI-RADS) category 3 follow-up application: improving patient care and compliance
Author(s): Praveena Kandula; T. S. Cook; W. W. Boonn; W. Kim
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Paper Abstract

With the current emphasis on healthcare reform and cost effectiveness, methods to increase healthcare efficiency while improving outcomes are paramount. With reference to breast cancer, delay in diagnosis can cause significant morbidity and mortality, as well as increased long term health care costs. Assessment with short interval mammographic follow-up of BI-RADS category 3 lesions has been shown to increase detection of a small number of breast cancers at an early stage. Because of the importance of timely follow-up for these patients, we propose a novel computer application that identifies patients due for short-term mammographic follow-up, thus reducing costly hours spent by personnel, reducing human error, and improving patient compliance. Our web-based application mines radiology reports and scheduling information to generate lists of patients due for short-term mammographic follow-up of BI-RADS category 3 results. The results can be placed in a worklist that can be used by a staff member to contact patients to schedule follow-up appointments. Additional analytic features of the application can identify referral characteristics that may serve as potential sources for improvement of patient follow-up. We believe that an automated system can be designed to improve patient care and compliance with follow-up of BI-RADS category 3 results.

Paper Details

Date Published: 25 March 2011
PDF: 5 pages
Proc. SPIE 7967, Medical Imaging 2011: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 79670B (25 March 2011); doi: 10.1117/12.880467
Show Author Affiliations
Praveena Kandula, The Univ. of Pennsylvania Health System (United States)
T. S. Cook, The Univ. of Pennsylvania Health System (United States)
W. W. Boonn, The Univ. of Pennsylvania Health System (United States)
W. Kim, The Univ. of Pennsylvania Health System (United States)


Published in SPIE Proceedings Vol. 7967:
Medical Imaging 2011: Advanced PACS-based Imaging Informatics and Therapeutic Applications
William W. Boonn; Brent J. Liu, Editor(s)

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