How Voice Recognition Technology has affected Medical Transcription

Today, the greatest fears that dog medical transcriptionists are involving the use range of software s voice transcription. It is obvious that many physicians and healthcare institutions now prefer to use special computer programs to transcribe their medical reports (Ainsworth). Is there a need for professional transcribers to fear for the end of their career? How could they even useful if their jobs would eventually be supported by software? Would the software s make medical transcription jobs obsolete?

In reality, a software transcription voice could really do the job faster. A lot of these programs could instantly generate text data from recordings. However, the limits are still common. The best way to use these products is to combine them with the professional services of medical transcriptionists. Together, transcribers and software can work together to release more accurate, more reliable and faster. Two examples are, their and they are, expand and die late night rates, and nitrate, urine and you are, and so on. Many doctors also rant that most voice recognition product software require s to speak slowly. This is obviously to ensure that words are understood as automatic transcription software could be facilitated. Many doctors are not very good with the idea (Gauvain & Lamel). Thus, they speak normally and as fast as they could. There could be no problem with that if the software would be combined with transcription expertise of professional services transcribers.

Many science fiction writers and electrical engineers have envisioned that one day people will be able to talk to appliances. “Washing machine on” would be the vocal shot to be heard round the world liberating humanity from mechanical enslavement to buttons and knobs. However, although the current performance of speech recognition systems might be compared favorably to the effectiveness of commanding a dog to sit—a significant improvement from past decades when recognition performance was more like commanding a cat—talking to appliances is not the killer application that is desired by most people. But even at the current level of performance, there are a number of important successful applications for computer speech recognition systems. Moreover, understanding why computer speech perception has not reached the level of human performance can give insight into the basic theoretical problems that still need to be solved to understand human speech perception (Furui).

In principle, by using speech technology, every telephone could become a computer system. The phone could allow access to information stored in databases, could allow the entry of data into such databases, and could be used for a number of applications that take place using a keyboard, a mouse, and a visual display screen. For every telephone to become a net-connected computer terminal, we simply need to replace the keyboard and mouse with speech input through a recognition system and voice output using synthetic speech. However, the level of speech recognition performance is still well below the requirement of speaking to a computer using natural speech as if talking to a human ...