1 Medical Informatics, Department of Community Health and Epidemiology, Faculty of Medicine, Dalhousie University, Halifax, NS, Canada.
2 Department of Radiation Oncology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, NS, Canada.
AJR Am J Roentgenol. 2018 Jan;210(1):39-42. doi: 10.2214/AJR.17.18375. Epub 2017 Sep 27.
Our objective was to create a user-friendly synoptically driven web-based tool for radiologists to report thyroid ultrasound studies and thereby improve the quality, completeness, and recommendations of reports.
The tool, developed using JavaScript and PHP (hypertext preprocessor), provides radiologists with a way to generate complete thyroid ultrasound reports and automatically categorize thyroid nodules of varying suspicion. Future work will focus on integration with the radiology information system for seamless reporting and the development of a prospective database.
我们的目标是创建一个用户友好的、基于网络的综述驱动工具,供放射科医生报告甲状腺超声研究,从而提高报告的质量、完整性和建议。
该工具使用 JavaScript 和 PHP(超文本预处理器)开发,为放射科医生提供了一种生成完整甲状腺超声报告并自动分类不同可疑程度甲状腺结节的方法。未来的工作将集中在与放射信息系统的集成,以实现无缝报告,并开发一个前瞻性数据库。