| Literature DB >> 34997374 |
Yee Seng Ng1, Bilal Quadri2, Chris Baker3, Christopher Foster3, Roderick W McColl2, David T Fetzer2, Ronald M Peshock2, Travis Browning2.
Abstract
In this article, we demonstrate the use of a software-based radiologist reporting tool for the implementation of American College of Radiology Thyroid Imaging, Reporting and Data System thyroid nodule risk-stratification. The technical details are described with emphasis on addressing the information security and patient privacy issues while allowing it to integrate with the electronic health record and radiology reporting dictation software. Its practical implementation is assessed in a quality improvement project in which guideline adherence and recommendation congruence were measured pre and post implementation. The descriptions of our solution and the release of the open-sourced codes may be helpful in future implementation of similar web-based calculators.Entities:
Keywords: ACR TI-RADS; Risk-stratification systems; Structured reporting; Thyroid nodules; Web calculator
Mesh:
Year: 2022 PMID: 34997374 PMCID: PMC8854452 DOI: 10.1007/s10278-021-00542-2
Source DB: PubMed Journal: J Digit Imaging ISSN: 0897-1889 Impact factor: 4.056