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:.
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Describe Speech Recognition
Describe and Evaluate the Hardware and Software utilized with Speech Recognition
Describe and Evaluate the information system used with Speech Recognition
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
Converts Spoken Words into
Doctor Orders and Notes
Nursing Reports and Hand-offs
(Another way to document care, 2008)
Speech Recognition Microphone
Speech Computer Chips
Dragon Naturally Speaking Software
(Electronic medical records and speech recognition, retrieved 2009)
99 % Accurate
900 Words 6 Minutes
Allows Continuous Speech
Text Editing and Formatting Capabilities
(Dragon NaturallySpeaking, retrieved 2009)
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)
Electronic Medical Record
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?
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?
Improved Patient Care
Increased Cash Flow and Reimbursement
99% accuracy rate
99% accuracy rate
E-learning based competencies
Select and Evaluate Software
Training of staff
Key points to remember…..
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
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
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
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
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
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
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.