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Related Experiment Videos

Speech interfacing for diagnosis reporting systems: an overview

L M De Bruijn1, E Verheijen, A Hasman

  • 1Department of Medical Informatics, University of Limburg, Maastricht, The Netherlands.

Computer Methods and Programs in Biomedicine
|September 1, 1995
PubMed
Summary
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Speech recognition offers innovative solutions for diagnosis reporting, with commercially viable systems emerging. Successful implementation requires careful consideration of interface, error handling, and workflow integration alongside speech recognition technology.

Area of Science:

  • Medical Informatics
  • Speech Technology

Background:

  • Automatic speech recognition (ASR) has long been recognized for its potential to innovate diagnosis reporting.
  • Current advancements in speech technology are nearing the introduction of commercially viable systems.

Purpose of the Study:

  • To highlight the multifaceted considerations for implementing speech recognition in clinical settings.
  • To emphasize that selecting a speech recognizer is only one part of a successful system design.

Main Methods:

  • The study discusses the integration of speech recognition technology within the broader context of clinical reporting systems.
  • It emphasizes a holistic approach to system design, not solely focusing on the recognizer's technical specifications.

Main Results:

Related Experiment Videos

  • The selection of a speech recognizer is a critical but not the sole determinant of system success.
  • Successful adoption hinges on a comprehensive design that includes user interface, error management, and workflow integration.

Conclusions:

  • Effective implementation of speech recognition for diagnosis reporting requires careful planning beyond just the core technology.
  • Interface design, error handling strategies, and seamless integration into daily clinical routines are paramount for successful adoption and innovation.