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Essay Subject: This paper looks at the application of voice recognition technology to medical transcription It ...... More...

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Paper Abstract: This paper looks at the application of voice recognition technology to medical transcription. It looks at how it works, its advantages and disadvantages, and how it compares to regular transcription techniques. Paper Introduction: Speech recognition technology could be the key to fully computerizedmedical records because it offers direct capture of physician\'s notes vanTerheyden It is estimated that percent of physicians will beusing the technology within five years The demand is generated by anincreasing aging population who require more and more medical care and theneed for electronic documentation that can easily be shared amongproviders However the technology is not yet perfected and technicalproblems impact its accuracy such as interspeaker differences resolutionof ambiguity the need to separate Text of the Paper: The entire text of the paper is shown below. However, the text is somewhat scrambled. We want to give you as much information as we possibly can about our papers and essays, but we cannot give them away for free. In the text below you will find that while disordered, many of the phrases are essentially intact. From this text you will be able to get a solid sense of the writing style, the concepts addressed, and the sources used in the research paper. within five years The demand is generated by anincreasing impact its accuracy such as interspeaker differences resolutionof be some editing done of the final product are three major costs of documentation physicians time transcription costs voice recognition technology inthe past years have been in of affordable large-vocabulary natural language recognitionsystems This usually local PC until he is satisfied with percent to percent and generates the physician\'s time than the old method ofdictating and recorder This way the clinician isstuck in The local voice profile which gradually learns the downloaded to the PC for voice recognition and the report server-siderecognition engines which act like the and signing but the clinician is no longer restricted toone volumes Bergeron Larger offices may be There are still a lot of improvements needed can take the place of phone or other http www healthmgttech com archives is speech htm of physician\'s notes vanTerheyden It is estimated that that can easily be shared amongproviders However the and grammar rules Speech patterns which are indistinguishable Punctuation and grammar of chartsearching and quality of with telephony and other technologies Bergeron The most for efficiency andto reduce recognition errors complete The clinician works with the reimbursement The system has its limitations in the car or at anyspare moment they could be making money seeing A way around this is for the it leads to more errors and morecorrections for the physician doctorcalling in dictation over the limits of the telephone system Voice recognition may may be suitable for large volume offices where thedata differentvoices improved accuracy of recognition the systems still have www pubmedcentral nih gov artilcerender fcgi artid van Terheyden N Speech recognition technology could be the key aging population who require more ambiguity the need to separate van Terheyden Accents and pronunciations vary and and cost of the time the areas of vocabulary size the ability tohandle natural language entails a PC-based voice recognition the report Hethen generates the completed reportready for signing as soon as it is having someone else do the transcribing and proofing andcorrecting He front of the PC until the report nuances of thephysician\'s voice sits on the PC and therefore generated but there is still the limitation of one PC automatic response systems forairline reservations and credit PC and one transcriptionist The downside using server-siderecognition systems without knowing it before voice recognitionis perfected punctuation forms ofdictation ReferencesBergeron B Voice recognition and percent of physicians will beusing the technology technology is not yet perfected and technicalproblems do not match the written word and there still needsto are neededin written language There care delivered The most significant development in important advances for medical transcription have been theavailability The clinician interacts with the voicerecognition engine on a system in real time corrects the errors usually from Bergeron First it makesmuch more of a demand on the he had using a portable more patients ratherthan sitting there correcting reports physician to recordanywhere and then the data is to make before sign off Using phone There still needs to be verificationbefore printing be the answer for small offices with smallreport is transmitted over the internet again by voice recognitiontechnology a longway to go before they Is speech recognition the holy grail Retrieved Nov from to fully computerizedmedical records because it offers direct capture and more medical care and theneed for electronic documentation speech from background noise andpunctuation there are phrases such as to too and two the document isnot available Delays in receiving transcripts impacts costs as opposed to single word recognition recognitionaccuracy and integration engine that cangenerate reports and usually uses macros and templates report signs off on it and the process is printed The faster turn round ofmedical reports means faster could dictate notes on his way home is done and corrected manydoctors complain limits the user to the onePC Bergeron Since this is not done in real time cards approximates the model of a is lower translationaccuracies partly due to the Offshore transcription services in India or Pakistan and grammar controls adaptation for medical transcription Retrieved Nov from http within five years The demand is generated by anincreasing impact its accuracy such as interspeaker differences resolutionof be some editing done of the final product are three major costs of documentation physicians time transcription costs voice recognition technology inthe past years have been in of affordable large-vocabulary natural language recognitionsystems This usually local PC until he is satisfied with percent to percent and generates the physician\'s time than the old method ofdictating and recorder This way the clinician isstuck in The local voice profile which gradually learns the downloaded to the PC for voice recognition and the report server-siderecognition engines which act like the and signing but the clinician is no longer restricted toone volumes Bergeron Larger offices may be There are still a lot of improvements needed can take the place of phone or other http www healthmgttech com archives is speech htm of physician\'s notes vanTerheyden It is estimated that that can easily be shared amongproviders However the and grammar rules Speech patterns which are indistinguishable Punctuation and grammar of chartsearching and quality of with telephony and other technologies Bergeron The most for efficiency andto reduce recognition errors complete The clinician works with the reimbursement The system has its limitations in the car or at anyspare moment they could be making money seeing A way around this is for the it leads to more errors and morecorrections for the physician doctorcalling in dictation over the limits of the telephone system Voice recognition may may be suitable for large volume offices where thedata differentvoices improved accuracy of recognition the systems still have www pubmedcentral nih gov artilcerender fcgi artid van Terheyden N If this paper is not what you are looking for, you can search again: Search for: or Click here to request an essay written just for you.

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