Title | ||
---|---|---|
Computer-Aided Reporting of Chest Radiographs: Efficient and Effective Screening in the Value-Based Imaging Era. |
Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2017 | https://doi.org/10.1007/s10278-017-9952-y | J. Digital Imaging |
Keywords | Field | DocType |
Big data,Computer aided reporting,Productivity,Screening chest radiograph,Tuberculosis,Value based care | Mammography,Computer-aided,Volume/Area,Radiography,Medical physics,Radiology,User interface,Open source software,Medicine,Volume setting,Subspecialty | Journal |
Volume | Issue | ISSN |
30 | 5 | 0897-1889 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Michael Morris | 1 | 0 | 0.34 |
Babak Saboury | 2 | 48 | 5.96 |
Niketh Bandla | 3 | 0 | 0.34 |
Christopher Toland | 4 | 16 | 3.38 |
Christopher Meenan | 5 | 21 | 4.59 |
Eliot Siegel | 6 | 302 | 80.13 |
Jean Jeudy | 7 | 0 | 0.68 |