Automated evaluation of electronic discharge notes to assess quality of care for cardiovascular diseases using Medical Language Extraction and Encoding System (MedLEE)-Reference-Cited by-同舟云学术

Automated evaluation of electronic discharge notes to assess quality of care for cardiovascular diseases using Medical Language Extraction and Encoding System (MedLEE)

Published:2010-05 Issue:3 Volume:17 Page:245-252
ISSN:1067-5027
Container-title:Journal of the American Medical Informatics Association
language:en
Short-container-title:J Am Med Inform Assoc

Author:

Chiang Jung-Hsien,Lin Jou-Wei,Yang Chen-Wei

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

Link

http://academic.oup.com/jamia/article-pdf/17/3/245/17373483/17-3-245.pdf

Reference26 articles.

1. Challenges and Opportunities in Quantifying the Quality of Care for Acute Myocardial Infarction

2. Automated Detection of Adverse Events Using Natural Language Processing of Discharge Summaries

3. Measuring the process of quality of care for ST-segment elevation acute myocardial infarction through data-mining of the electronic discharge notes

4. The Quality of Care

5. American Heart Association. Heart and stroke statistical update. http://www.americanheart.org/statistics/index.html [online article].

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