DEVELOPMENT OF A KNOWLEDGE-BASED IMAGE REPORTING SYSTEM

基于知识的图像报告系统的开发

基本信息

批准号：
6073984
负责人：
CURTIS P LANGLOTZ
金额：
$ 9.86万
依托单位：
EDICT SYSTEMS, INC.
依托单位国家：
美国
项目类别：
财政年份：
2000
资助国家：
美国
起止时间：
2000-03-13 至 2001-03-17
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/6073984
关键词：
artificial intelligence bioimaging /biomedical imaging computer assisted medical decision making computer system design /evaluation data management imaging /visualization /scanning information systems vocabulary vocabulary development for information system

项目摘要

We have constructed a prototype structured reporting system that replaces conventional dictation and transcription for medical image reporting. Key design features include reporting speed, generation of graphical reports, structured storage of imaging findings, and the use of existing lexicons. Pilot timing data suggest that a radiologist using our system can generate a report more rapidly than with conventional reporting methods or speech recognition systems. Support is sought to refine the prototype, and to conduct feasibility testing. The specific aims are (1) to augment and refine a hierarchical test lexicon of imaging terms (2) to develop methods for the representation and reporting of imaging findings and their logical relationships, (3) to evaluate the system's performance on clinical imaging reports, and (4) to assess the completeness of existing lexicons for imaging. The project is supported by a Technical Advisory Committee comprised of experts in key methodological areas. A successful Phase I will lead (in Phase II) to testing of the approach for cross-sectional imaging, to adoption, augmentation, and use of an existing lexicon, to construction of real-time decision support techniques based on the knowledge base of imaging findings generated by the system, and to system evaluation in a clinical setting. PROPOSED COMMERCIAL APPLICATIONS: Our structured reporting system is appealing to radiologists because it speeds up the reporting process compared to conventional dictation/transcription or speech recognition. In addition, the system eliminates the costs, delays, inaccuracies, and other organizational problems associated with transcription services, thereby improving patient care. Therefore, time-efficient, speech-augmented structured reporting systems will likely capture a significant segment of the $1.2 billion annual market for radiology transcription services.

我们已经构建了一个原型结构化报告系统，该系统取代了医疗图像报告的常规命令和转录。关键设计功能包括报告速度，图形报告的产生，成像发现的结构化存储以及现有词典的使用。飞行员的定时数据表明，使用我们的系统的放射科医生可以比传统的报告方法或语音识别系统更快地生成报告。寻求支持以完善原型并进行可行性测试。（1）的具体目的是增加和完善成像术语（2）的分层测试词典，以开发成像发现的表示和报告的方法，（3）评估系统在临床成像报告上的性能，以及（4）评估现有词典成像的完整性。该项目得到了由关键方法论领域的专家组成的技术咨询委员会的支持。成功的阶段将领导（在第二阶段）测试横截面成像，采用，增强和使用现有词典，以基于系统成像发现的知识基础以及在临床环境中进行系统评估的实时决策支持技术的构建。拟议的商业应用：我们的结构化报告系统吸引了放射科医生，因为与传统的听写/转录或语音识别相比，它加快了报告过程的速度。此外，该系统消除了与转录服务相关的成本，延误，错误和其他组织问题，从而改善了患者护理。因此，时间效率，言语启动的结构化报告系统可能会捕获12亿美元的放射学转录服务市场中的很大一部分。