https://scholars.lib.ntu.edu.tw/handle/123456789/630486
標題: | Automated evaluation of electronic discharge notes to assess quality of care for cardiovascular diseases using Medical Language Extraction and Encoding System (MedLEE) | 作者: | Chiang, Jung-Hsien JOU-WEI LIN Yang, Chen-Wei |
關鍵字: | ST-SEGMENT ELEVATION; MYOCARDIAL-INFARCTION; INFORMATION; RECORDS | 公開日期: | 五月-2010 | 出版社: | OXFORD UNIV PRESS | 卷: | 17 | 期: | 3 | 起(迄)頁: | 245 | 來源出版物: | Journal of the American Medical Informatics Association : JAMIA | 摘要: | The objective of this study was to develop and validate an automated acquisition system to assess quality of care (QC) measures for cardiovascular diseases. This system combining searching and retrieval algorithms was designed to extract QC measures from electronic discharge notes and to estimate the attainment rates to the current standards of care. It was developed on the patients with ST-segment elevation myocardial infarction and tested on the patients with unstable angina/non-ST-segment elevation myocardial infarction, both diseases sharing almost the same QC measures. The system was able to reach a reasonable agreement (kappa value) with medical experts from 0.65 (early reperfusion rate) to 0.97 (beta-blockers and lipid-lowering agents before discharge) for different QC measures in the test set, and then applied to evaluate QC in the patients who underwent coronary artery bypass grafting surgery. The result has validated a new tool to reliably extract QC measures for cardiovascular diseases. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/630486 | ISSN: | 1067-5027 | DOI: | 10.1136/jamia.2009.000182 |
顯示於: | 醫學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。