Presented By: Amy Sollenberger 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 Written Text Nursing Documentation Interdisciplinary Doctor Documentation Orders and Notes Nursing Reports and Hand-offs (Another way to document care, 2008) Computer Speech Recognition Microphone Digital Recorder Speech Computer Chips (Paulson, 2006) Fast Inexpensive Accurate Dragon Naturally Speaking Software eScription Software AccuNurse Software e-Speaking Software (Electronic medical records and speech recognition, retrieved 2009) 99 % Accurate 900 Words Allows Text 6 Minutes Continuous Speech Editing and Formatting Capabilities (Dragon NaturallySpeaking, retrieved 2009) Were the users an early and continuous focus during the interface design? Was Did the design process iterative? a formal evaluation take place? (McGonigle and Mastrian, 2009) (http://www.himss.org/content/files/EMR_WP1208.pdf, 2008) 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) 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) Saves Time Improved Cost Patient Care Savings Increased Cash Flow and Reimbursement (Nuance.com, 2008) 99% accuracy rate Background noise (Hamlet, 2008) 99% accuracy rate Computer security Confidentiality (Hamlet, 2008) E-learning On-job based competencies training (Zikosky, 2008) Select and Evaluate Software Trouble shooting Training Annual of staff competencies (Zikosky, 2008) 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/AVoice-Recognition-Solution-for-NursingDocumentation-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/MainMenuCa tegories/ANAMarketplace/ANAPeriodicals/ OJIN/TableofContents/Volume72002/No3Se pt2002/ArticlesPreviousTopic/HHCCAnOve rview.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_do cs_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/bl ogs/karen_zikosky_eportfolio/PAPERLES S%20HOSPITALS%20pp%20final.pptx.