Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6853410 | Artificial Intelligence in Medicine | 2017 | 14 Pages |
Abstract
An automatic knowledge-based summarization system, such as the CTXT system, has the capability to model complex clinical domains, such as the ICU, and to support interpretation and summarization tasks such as the creation of a discharge summary letter. Based on the results, we suggest that the use of such systems could potentially enhance the standardization of the letters, significantly increase their completeness, and reduce the time to write the discharge summary. The results also suggest that using the resultant structured letters might reduce the decision time, and enhance the decision quality, of decisions made by other clinicians.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Ayelet Goldstein, Yuval Shahar, Efrat Orenbuch, Matan J. Cohen,