Dragon Naturally Speaking e-Learning - Training

Friday, March 26, 2010

Speech Recognition Software- Back-End SR a Better Option Than Front-End SR

The latest developments in the speech recognition software have made it quite easy for the dictation provider to directly convert the spoken words into electronic text. This provides great benefit to the healthcare workers, especially the physicians. In the medical transcription process the dictation from the doctor is converted into electronic file by a medical transcriptionist. This file is sent back to the doctor who then stores it the computer for later use. This whole process takes time and there is no universal standard available in transcription industry that measures and defines a standard turnaround time, which can be used as benchmark by all the transcription service providers. TAT varies from one transcription service provider to the other.
This is the loophole in the medical transcription process which can be easily overcome by the speech recognition technology. There are two types of software available for the users and they are:

• Front-end Speech recognition software.
• Back-end speech recognition software.

The above two options have their own advantages and shortcomings. In front end SR, the physician dictates and edits the transcribed report and there is no need of medical transcriptionist or an editor. The physician finds this type of application, time consuming because of the busy schedule. In absence of transcriptionist or editor, the accuracy of the transcribed report cannot be guaranteed because the software is not completely accurate.Besides this, if the physician overlooks an error while transcribing, it will be carried forward into the treatment and can seriously affect the outcome.

In the Back-End SR or deferred SR the provider dictates into a digital dictation system. The voice file is sent along with the draft to the medical transcriptionist for editing. After editing and finalization, the report is sent back to the doctor for signing. Thus back-end voice recognition software increases the accuracy of the transcribed report by providing a quality back up in form a medical transcriptionist, who effectively filters out errors made by the physician. Most of the physicians prefer this mode of transcribing as it saves them time.

From medical transcription perspective, the health services providers find it easy and useful integrate the back end type of voice recognition technology with their transcription process. It reduces their turnaround time without compromising the prevalent accuracy level.

Speech recognition software increases the productivity of medical transcription.

Jason Gaya

Read more on speech recognition software at,www.dragonelearning.com


Friday, March 19, 2010

Synchronizing Speech Recognition Software with Medical Transcription to Increase Productivity

The speech recognition software is a computer program that automatically converts the spoken words into text on the computer screen. The voice recognition software is programmed in such a way that it identifies the speaker through vocal chord identification technique. The idea is to train the software so that it understands the voice pattern of the dictator and converts it, into text precisely, at a faster rate.

When it comes to medical documentation system, medical transcription plays a crucial role in efficient management of electronic patient health information. In transcription process, the transcriptionist listens to recorded voice file and uses computer keyboard to type in the corresponding text on the screen. As medical transcription is a manual process it takes more time to transcribe a report compared to the voice recognition software, which instantly converts the speech to text. Hence by using this software the turnaround time of the transcribed report can be shortened, considerably.

However, even the latest technological advancements in speech recognition software do not guarantee 100% accuracy. There are some shortcomings in the software, which can induce errors in the transcribed reports and thus seriously affect the outcome of treatment. For medical application there are two types of voice recognition software:
  • The Front-end type voice recognition system, in which the words are displayed as they are spoken and the speaker, generally a physician is responsible for editing and signing the document. Here no transcriptionist or editor is required.
  • The Back-end voice recognition system, spoken words are converted into a drafted document. This document is routed along with corresponding voice file to the medical transcriptionist or an editor, who edits and finalizes the document.
Of the two, the Back-end type voice recognition system is preferred. It provides an additional quality control back-up in form of, a pair of trained eyes of the medical transcriptionist, which efficiently filter out the transcribing errors made by the software. The other advantage that this combination of human effort and software provides is, considerable reduction in the turnaround time of the transcribed report, without compromising the prevalent quality standards in the industry.

Speech to Text conversion software and medical transcriptionist can together make the medical documentation process quicker, safer and more accurate.

Jason Gaya

Read more on speech recognition software at, www.dragonelearning.com

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