| Literature DB >> 28154988 |
Michael Morris1,2,3,4, Babak Saboury5,6,7, Niketh Bandla5, Christopher Toland5,8,7, Christopher Meenan5,8,7, Eliot Siegel5,6,7, Jean Jeudy5,6,7.
Abstract
In the post-PACS era, mammography is unique in adopting specialized ergonomic interfaces to improve efficiency in a high volume setting. Chest radiography is also a high volume area of radiology. The authors hypothesize that applying a novel interface for chest radiography interpretation and reporting could create high productivity while maintaining quality. A custom version of the ClearCanvas open source software, EzRad, was created with a workflow re-designed specifically for tuberculosis screening chest radiographs, which utilized standardized computer generated reports. The preliminary reports from 881,792 studies evaluated by radiology residents over a nine-year period were analyzed for productivity as RVU/FTE and compared to the finalized reports from a subspecialty attending chest radiologist for accuracy. Radiology residents were able to produce 7480 RVU/FTE per year in screening chest radiography productivity when using a custom interface at a large academic medical center with a miss rate of 0.1%. Sensitivity was 77% and specificity was 99.9%. An ergonomic user interface allowed high productivity in interpretation of chest radiography for tuberculosis screening while maintaining quality.Entities:
Keywords: Big data; Computer aided reporting; Productivity; Screening chest radiograph; Tuberculosis; Value based care
Mesh:
Year: 2017 PMID: 28154988 PMCID: PMC5603434 DOI: 10.1007/s10278-017-9952-y
Source DB: PubMed Journal: J Digit Imaging ISSN: 0897-1889 Impact factor: 4.056