Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

SAM: speech-aware applications in medicine to support structured data entry

A K Wormek1, J Ingenerf, H F Orthner

  • 1GSF-National Research Center for Environment and Health, Medis., Institute of Medical Informatics and Health Services Research, Neuherberg, Germany.

Proceedings : a Conference of the American Medical Informatics Association. AMIA Fall Symposium
|January 1, 1997
PubMed
Summary

Speech recognition technology is advancing for clinical use. Adapting systems like SAM to specific medical needs, such as pathology and diabetes care, improves physician support and data entry.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

One Step Away from Technology but One Step Towards Domain Experts-MDRBridge: A Template-Based ISO 11179-Compliant Metadata Processing Pipeline.

Methods of information in medicine·2019
Same author

QL<sup>4</sup>MDR: a GraphQL query language for ISO 11179-based metadata repositories.

BMC medical informatics and decision making·2019
Same author

Design, implementation, and evaluation of a mobile application for patient empowerment and management of long-term follow-up after childhood cancer.

Klinische Padiatrie·2015
Same author

Medical informatics, biometry and epidemiology. Recent developments and advances.

Methods of information in medicine·2014
Same author

Assessing applicability of ontological principles to different types of biomedical vocabularies.

Methods of information in medicine·2009
Same author

[Terminologies or classifications. What does the future hold?].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz·2007

Area of Science:

  • Medical Informatics
  • Computer-Assisted Diagnostics

Background:

  • Advancements in speech recognition technology are increasing medical interest in clinical applications.
  • Key factors for acceptance include speed, large vocabularies, accuracy, continuous recognition, and speaker independence.

Purpose of the Study:

  • To develop a speech-aware core component (SAM) for integrating diverse speech recognition engines.
  • To support physicians in routine clinical care through speech-aware applications.

Main Methods:

  • Development of SAM, a core component connecting to various speech recognition engines.
  • Extension of SAM within the STAMP project for pathology, combining structured data entry with speech recognition.
  • Integration of a speech-aware application in diabetes care with a terminology server for controlled vocabulary.

Related Experiment Videos

Main Results:

  • SAM enables connection to different speech recognition engines.
  • The STAMP project demonstrates combined structured data entry and speech recognition for pathology reporting.
  • A diabetes care application utilizes a terminology server for enhanced speech recognition.

Conclusions:

  • Adapting speech recognition to specific medical applications offers significant benefits.
  • Speech-aware components like SAM can enhance clinical workflows and physician support.
  • Integration with terminology servers improves the accuracy and utility of medical speech recognition.