Speech Recognition

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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
 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.
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