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Identify the history of speech recognition technology from its earliest beginnings until now and how this is integrated into the computerized health record.
Since it was first introduced in the late 1980s, this technology has improved.
Early on based on keyword spotting
Also used hidden Markov model
-Was slow and based on enunciation
-ANNs and gesture recognition technology
-natural language processing / speech recognition / AI
Compare and contrast the differences between front-end and back-end speech recognition technology from the health information management (transcription) viewpoint.
Explain some of the benefits of using speech recognition technology.
Discuss speech pattern issues, how they impact the successful use of Speech Recognition systems and standards for dictation.
Explain the process of dictation by the dictator in front-end speech recognition as well as the back-end process of editing by the transcriptionist.
Front -end speech recognition (FESR) can be used to offer clinicians a way to immediately dictate, sign and produce a report independently.
Back-end speech recognition (BESR), a medical specialist editor reviews the document for accuracy, which makes the physician even more efficient".
Discuss other issues with Speech Recognition
Provide an example of a bigram in the language model when building the vocabulary in speech recognition technology software.
Speech recognition technology (SRT)
Also known as voice recognition, allows the replacement of written or data entry text with the human voice entry
a command would be triggered when a user would say a simple phrase or keyword
subfield of speech recognition that identifies keywords in spoken language
hidden Markov model (HMM)
statistical model "that output a sequence of symbols or quantities"
artificial neural networks (ANNs)
computational techniques based on artificial intelligence and machine learning in which the structure and operation are inspired by the properties and operation of the human brain
gesture recognition technology
a method of encoding handwritten, print, or cursive characters and interpreting the characters as words or the intent of the writer
natural language processing technology
speech recognition but converts human language (structured or unstructured) into data that can be translated then manipulated by computer systems
Front end speech recognition (FESR)
can be used to offer clinicians a way to immediately dictate, sign, and produce a report independently
Back end speech recognition (BESR)
a medical specialist editor reviews the document for accuracy which makes the physician even more efficient
Turn around time (TAT)
the elapsed time from completion of dictation to the delivery of the transcribed document either in printed medium or electronically to a repository
Interactive voice response system (IVR)
one of the earliest speech recognition systems, taking its root from the keyword spotting systems from the early 20th century
in older voice recognition applications, each word is required to be dictated slowly and distinctly by the user to allow the software to determine where one word begins and the next stops
Continuous speech recognition
means that the user can use the system naturally and does not have to speak as slowly and distinctly as previous systems
designed to work similarly to the brain's neural network, recogizes the speaker's voice and remembers the way the user says each word, regardless of varying accents and inflection
Front-end speech recognition (FESR)
with its once-and-done approach allows the provider to create, edit, and sign the report, and to dictate directly into EHR fields or select from menu options using voice commands
Back-end speech recognition (BESR)
Specific use of speech recognition technology "in an environment where the recognition process occurs after the completion of dictation by sending voice files through a server.
What is expected to happen with the role of the medical language specialists as more speech recognition technology is used in the future?
Increase in productivity and decrease in staffing
As seen with dictation-transcription process, turnaround time is a measure of what?
The time frame of completion of the dictated reports
The advantage of front-end speech recognition is
The turnaround time is shortened
The term used to describe computers working similarly to a person's brain is
a preapproved document outline designed so that the practitioner only dictates to fill in the blanks
the format used to control documentation to be included in a progress note, history and physical, or other document
The HIM professionals must review clinical documentation not only for quality and accuracy but also for
errors from copy and paste
Granularity of ICD-10 coding
Association for Healthcare Documentation Integrity (formerly American Association for Medical Transcription)
American Society for Testing and Materials
Issues with SRT
Quality of product
training with the software
editing of dictated reports
means that it has been trained to a particular user and already has an established vocabulary for that user
system looks at two words prior to being identified
system looks at three words prior to being identified
system looks at four words prior to being identified
Which of the following can be used when dictating
The SRT has been trained to use a specific physician's voice. This system is:
If a provider wants to ensure the correct spelling of a word while dictating using SRT, he or she should
use the military alphabet and spell the word out
The physician wants to dictate a question. What lets the SRT know that it is a question?
Physician changes his inflection
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