Papers by Michael Brenndoerfer

2 papers
An automated medical scribe for documenting clinical encounters (N18-5)

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Challenge: a medical scribe is a clinical professional who charts patient–physician encounters in real time.
Approach: They propose to use multiple speech and language technologies to create an automated medical scribe.
Outcome: a medical scribe can be used as an alternative to human scribes or as an assistive tool for physicians . the system relies on multiple speech and language technologies, including speaker diarization, medical speech recognition, knowledge extraction, and natural language generation.
From dictations to clinical reports using machine translation (N18-3)

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Challenge: Medical dictation is one of the most common ways to document clinical encounters.
Approach: They propose a machine callytranslation technique that automates post-processing tasks . they show that it outperforms conventional systems in correcting errors .
Outcome: The proposed method outperforms conventional systems in many tasks while being much simpler to maintain.

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