Detecting clinically relevant new information in clinical notes across specialties and settings.

Citation data:

BMC medical informatics and decision making, ISSN: 1472-6947, Vol: 17, Issue: Suppl 2, Page: 68

Publication Year:
2017
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PMID:
28699564
DOI:
10.1186/s12911-017-0464-y
Author(s):
Zhang, Rui, Pakhomov, Serguei V S, Arsoniadis, Elliot G, Lee, Janet T, Wang, Yan, Melton, Genevieve B
Publisher(s):
Springer Nature
Tags:
Medicine
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article description
Automated methods for identifying clinically relevant new versus redundant information in electronic health record (EHR) clinical notes is useful for clinicians and researchers involved in patient care and clinical research, respectively. We evaluated methods to automatically identify clinically relevant new information in clinical notes, and compared the quantity of redundant information across specialties and clinical settings.

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