Development and validation of a pragmatic natural language processing approach to identifying falls in older adults in the emergency department

Development and validation of a pragmatic natural language processing approach to identifying falls in older adults in the emergency department

Abstract Background Falls among older adults are both a common reason for presentation to the emergency department, and a major source of morbidity and mortality. It is critical to identify fall patients quickly and reliably during, and immediately after, emergency department encounters in order to...

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Bibliographic Details
Main Authors: Brian W. Patterson, Gwen C. Jacobsohn, Manish N. Shah, Yiqiang Song, Apoorva Maru, Arjun K. Venkatesh, Monica Zhong, Katherine Taylor, Azita G. Hamedani, Eneida A. Mendonça
Format: Article
Language:English
Published: BMC 2019-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Falls
Electronic health record
Emergency medicine
Natural language processing
Geriatrics
Online Access:http://link.springer.com/article/10.1186/s12911-019-0843-7

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