1 / 26

Speech Recognition

Speech Recognition. Presented By: Amy Sollenberger. Objectives:. Describe Speech Recognition Describe and Evaluate the Hardware and Software utilized with Speech Recognition Describe and Evaluate the information system used with Speech Recognition. Objectives:.

madison
Télécharger la présentation

Speech Recognition

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Speech Recognition Presented By: Amy Sollenberger

  2. Objectives: Describe Speech Recognition Describe and Evaluate the Hardware and Software utilized with Speech Recognition Describe and Evaluate the information system used with Speech Recognition

  3. Objectives: Discuss the advantages/disadvantages Examine any related legal/ethical issues Discuss the informatics competencies required with speech recognition Assess the functions and responsibilities of the nurse informaticist Summarize the information related to speech recognition

  4. What is Speech Recognition? Converts Spoken Words into Written Text

  5. Uses for Speech Recognition: Nursing Documentation Interdisciplinary Documentation Doctor Orders and Notes Nursing Reports and Hand-offs (Another way to document care, 2008)

  6. Hardware Used for Speech Recognition Computer Speech Recognition Microphone Digital Recorder Speech Computer Chips (Paulson, 2006)

  7. Speech Recognition Chips

  8. Software Used for Speech Recognition Dragon Naturally Speaking Software eScription Software AccuNurse Software e-Speaking Software (Electronic medical records and speech recognition, retrieved 2009)

  9. Dragon NaturallySpeaking 99 % Accurate 900 Words 6 Minutes Allows Continuous Speech Text Editing and Formatting Capabilities (Dragon NaturallySpeaking, retrieved 2009)

  10. Software Usability Evaluation Were the users an early and continuous focus during the interface design? Was the design process iterative? Did a formal evaluation take place? (McGonigle and Mastrian, 2009)

  11. Information System Used With Speech Recognition Electronic Medical Record (EMR) (http://www.himss.org/content/files/EMR_WP1208.pdf, 2008)

  12. EMR Evaluation What type of Information System is EMR? What health care professionals use the EMR? What functions does the EMR enable the user to perform? What configuration is used for the EMR? http://www.himss.org/content/files/EMR_WP1208.pdf, (2008)

  13. EMR Evaluation, cont. What data standards are used in the EMR? What Disease and Procedure Classification System is used in the EMR? What nursing practice standards classification scheme is used in the EMR? (Saba, 2002)

  14. Advantages of Speech Recognition Saves Time Improved Patient Care Cost Savings Increased Cash Flow and Reimbursement (Nuance.com, 2008)

  15. Disadvantages of Speech Recognition 99% accuracy rate Background noise (Hamlet, 2008)

  16. Ethical/Legal Issues Related to Speech Recognition 99% accuracy rate Computer security Confidentiality (Hamlet, 2008)

  17. Informatics Competencies E-learning based competencies On-job training (Zikosky, 2008)

  18. Functions and Responsibilities of the Informatics Nurse Select and Evaluate Software Trouble shooting Training of staff Annual competencies (Zikosky, 2008)

  19. Summary: Key points to remember…..

  20. References: A new way to document care (2008). Retrieved February 6, 2009 from http://www.healthdatamanagement.com/issues/2008_54/26547-1.html Dragon NaturallySpeaking. Retrieved February 26, 2009, from Voice Recognition Software from 1st Voice Web site: http://www.1stvoice.com/product.html

  21. References: Electronic medical records and speech recognition. Retrieved February 26, 2009, from Voice ecognition.com Web site: http://www.voicerecognition.com/trends Epic streamlines EMR system with speech. Retrieved March 23, 2009, from http://iglou.com/vrsky/epic.pdf

  22. References: Hamlet, R. (October 1, 2008). A voice recognition solution for nursing documentation. Retrieved April 13, 2009, from http://www.scribd.com/doc/6333073/A-Voice-Recognition-Solution-for-Nursing-Documentation-Ryland-Hamlet

  23. References: McGonigle, D., & Mastrian, K. (2009). Nursing informatics and the foundation of knowledge.Sudbury: Jones and Bartlett. Saba, V.K. (September 2002). Home health care classification: An overview. The Online Journal of Issues in Nursing, 7, Retrieved March, 23, 2009, from http://www.nursingworld.org/MainMenuCategories/ANAMarketplace/ANAPeriodicals/OJIN/TableofContents/Volume72002/No3Sept2002/ArticlesPreviousTopic/HHCCAnOverview.aspx

  24. References: Paulson, L.D. (November 2006). Speech recognition moves from software to hardware. Technology News, Retrieved February 26, 2009, from http://www.computer.org/portal/cms_docs_computer/computer/homepage/1106/ry015.pdf

  25. References: Speech recognition: Accelerating the adoption of electronic medical records. (2008) Retrieved 4/13/2009, from Nuance.com Web site: http://www.himss.org/content/files/EMR_WP1208.pdf

  26. References: Zikosky, K., & Nardozzi, L.(2008). Paperless hospitals. Retrieved April 14, 2009, from www.quammongroup.com Web site: http://www.personal.psu.edu/kpz101/blogs/karen_zikosky_eportfolio/PAPERLESS%20HOSPITALS%20pp%20final.pptx.

More Related