Presented By: Amy Sollenberger

moancapableAI and Robotics

Nov 17, 2013 (3 years and 8 months ago)

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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 Documentation



Doctor 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 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)




























(
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 Patient Care



Cost 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 based competencies



On
-
job training






(
Zikosky
, 2008)







Select and Evaluate Software



Trouble shooting



Training of staff



Annual 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/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/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.