2. Presented By: Amy Sollenberger

3.  Describe Speech Recognition  Describe and Evaluate the Hardware and Software utilized with Speech Recognition  Describe and Evaluate the information system used with Speech Recognition

4.  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

5. Converts Spoken Words into Written Text

6.  Nursing Documentation  Interdisciplinary Documentation  Doctor Orders and Notes  Nursing Reports and Hand-offs (Another way to document care, 2008)

7.  Computer  Speech Recognition Microphone  Digital Recorder  Speech Computer Chips (Paulson, 2006)

8. Fast Inexpensive Accurate

9.  Dragon Naturally Speaking Software  eScription Software  AccuNurse Software  e-Speaking Software (Electronic medical records and speech recognition, retrieved 2009)

10.  99 % Accurate  900 Words 6 Minutes  Allows Continuous Speech  Text Editing and Formatting Capabilities (Dragon NaturallySpeaking, retrieved 2009)

11.  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)

13.  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.pdfhttp://www.himss.org/content/files/EMR_WP1208.pdf, (2008)

14.  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)

15.  Saves Time  Improved Patient Care  Cost Savings  Increased Cash Flow and Reimbursement (Nuance.com, 2008)

16.  99% accuracy rate  Background noise (Hamlet, 2008)

17.  99% accuracy rate  Computer security  Confidentiality (Hamlet, 2008)

18.  E-learning based competencies  On-job training (Zikosky, 2008)

19.  Select and Evaluate Software  Trouble shooting  Training of staff  Annual competencies (Zikosky, 2008)

20. Key points to remember…..

21. References:  A new way to document care (2008). Retrieved February 6, 2009 from http://www.healthdatamanagement.com/ issues/2008_54/26547-1.html 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

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

23.  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

24.  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/MainMenuCa tegories/ANAMarketplace/ANAPeriodicals/ OJIN/TableofContents/Volume72002/No3Se pt2002/ArticlesPreviousTopic/HHCCAnOve rview.aspx

25.  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_do cs_computer/computer/homepage/1106 /ry015.pdf http://www.computer.org/portal/cms_do cs_computer/computer/homepage/1106 /ry015.pdf

26.  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

27.  Zikosky, K., & Nardozzi, L.(2008). Paperless hospitals. Retrieved April 14, 2009, from www.quammongroup.com Web site: http://www.personal.psu.edu/kpz101/bl ogs/karen_zikosky_eportfolio/PAPERLES S%20HOSPITALS%20pp%20final.pptx.