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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的结构化报告系统，它取代了传统的听写和转录来进行医学图像报告。主要设计功能包括报告速度、图形报告的生成、成像结果的结构化存储以及对现有词典的使用。试点计时数据表明，使用我们的系统的放射科医生可以比使用传统报告方法或语音识别系统更快地生成报告。正在寻求支持，以改进原型并进行可行性测试。具体目标是(1)扩充和改进成像术语的分层测试词典(2)开发用于表示和报告成像结果及其逻辑关系的方法，(3)评估系统在临床成像报告上的性能，以及(4)评估现有成像词典的完整性。该项目由一个由关键方法领域的专家组成的技术咨询委员会提供支助。第一阶段的成功将导致(在第二阶段)对横断面成像方法的测试，对现有词典的采用、扩充和使用，基于系统生成的成像发现的知识库构建实时决策支持技术，以及在临床环境中进行系统评估。建议的商业应用：我们的结构化报告系统对放射科医生很有吸引力，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。此外，该系统消除了与转录服务相关的成本、延迟、不准确和其他组织问题，从而改善了患者护理。因此，在每年12亿美元的放射学转录服务市场中，时间高效、语音增强的结构化报告系统可能会占据相当大的一部分。