https://scholars.lib.ntu.edu.tw/handle/123456789/456544
標題: | A knowledge-based patient image prefetching system: design, evaluation and management. | 作者: | Hu P.J CHIH-PING WEI Sheng O.R. |
公開日期: | 1999 | 卷: | 20 | 期: | 1 | 起(迄)頁: | 42-57 | 來源出版物: | Topics in health information management | 摘要: | One fundamental clinical role of radiologists is to provide attending physicians with interpretations of an individual patient's radiological images essential to a treatment plan or overall patient management. Interpreting images from a newly taken radiological examination often requires reference to prior images of the same patient to establish a baseline from which to confirm a suspected pathological process or injury or to evaluate the progression of one that has been identified. Such image references are crucial to the radiologist's examination reading and when inappropriately supported can result in prolonged reading time, decreased report quality, and frustration. To address the problem of inadequate image prefetching methods used by many health care organizations, we took a knowledge-based approach and developed Image Retrieval Expert System (IRES), which incorporates relevant medical/radiological knowledge and contains image retrieval heuristics commonly shared by radiologists. This article describes the design of IRES, highlights its preliminary evaluation results, and discusses issues important for managing this and similar technologies in a health care organization. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-0033173605&partnerID=40&md5=c27fff029acabe19aa3b2947ad32284a https://scholars.lib.ntu.edu.tw/handle/123456789/456544 |
ISSN: | 10650989 | SDG/關鍵字: | article; artificial intelligence; evaluation; hospital information system; information retrieval; public relations; United States; X ray; Artificial Intelligence; Evaluation Studies; Information Storage and Retrieval; Interprofessional Relations; Radiology Information Systems; United States; X-Rays |
顯示於: | 資訊管理學系 |
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