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Related Experiment Videos

Voice recognition.

Amit Mehta1, Theresa C McLoud

  • 1Harvard Medical School, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA.

Journal of Thoracic Imaging
|July 18, 2003
PubMed
Summary

Voice recognition (VR) systems are transforming radiology, with 30% of practices adopting them. While offering benefits like reduced turnaround times, VR may decrease radiologist productivity due to transferred secretarial duties.

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Area of Science:

  • Medical Informatics
  • Radiology Technology

Background:

  • Voice recognition (VR) is an emerging technology impacting radiology practices.
  • Approximately 30% of radiology practices currently utilize or plan to implement VR systems.

Purpose of the Study:

  • To explore the integration and implications of voice recognition technology in radiology.
  • To identify the core functionalities and benefits of VR systems in a clinical setting.

Main Methods:

  • Analysis of VR software functionalities, including speech recognition, synthesis, speaker identification, and comprehension.
  • Examination of the integration requirements between VR systems and radiology information systems (RIS).

Main Results:

  • VR software encompasses four key processes: speech recognition, text-to-speech synthesis, speaker verification, and comprehension.
  • Integration with RIS is a standard requirement for VR packages in radiology.
  • Reported benefits include decreased report turnaround times and cost savings.

Conclusions:

  • Voice recognition technology offers significant advantages for radiology, such as improved efficiency and cost reduction.
  • A potential drawback is the transfer of secretarial tasks to radiologists, which may lead to decreased overall productivity.

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