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Benchmarking Clinical Speech Recognition and Information Extraction: New Data, Methods, and Evaluations

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Date

2015

Authors

Suominen, Hanna
Zhou, Liyuan
Hanlen, Leif
Ferraro, Gabriela

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

Abstract

Over a tenth of preventable adverse events in health care are caused by failures in information flow. These failures are tangible in clinical handover; regardless of good verbal handover, from two-thirds to all of this information is lost after 3-5 shifts if notes are taken by hand, or not at all. Speech recognition and information extraction provide a way to fill out a handover form for clinical proofing and sign-off.

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Keywords

Citation

URI

http://hdl.handle.net/1885/98895

Collections

ANU Research Publications

Source

International Journal of Medical Informatics

Type

Journal article

Book Title

Entity type

Access Statement

License Rights

DOI

10.2196/medinform.4321

Restricted until

2037-12-31

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01_Suominen_Benchmarking_Clinical_Speech_2015.pdf (4.34 MB)

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