Benchmarking Clinical Speech Recognition and Information Extraction: New Data, Methods, and Evaluations
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.
|Collections||ANU Research Publications|
|Source:||International Journal of Medical Informatics|
|01_Suominen_Benchmarking_Clinical_Speech_2015.pdf||4.44 MB||Adobe PDF||Request a copy|
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