The Evolution of Voice Recognition Essay Example for Free

The Evolution of portion fruition EssayAw the Dictaphone What an extraordinary invention. This device has been make use ofd to record spoken notes of medical professionals to be transcribed at a later date for over a century. The Dictaphone has truly been an icon in the wellness sell industry and will be missed. Since its invention health aid has underwent so umpteen changes and introduced so more technological advances. To follow suit the way in which medical notes be recorded and stored must alike undergo change. And so it did. There has been skepticism along the way however, translator or speech recognition is beginning to be more accepted and widely used in the health care field.Voice recognition software was developed to produce text from spoken words. Instead of typing the words a computer user only needed to talk to the computer, and the text is typed by a program which is structured into the software. Voice recognition was being experimented with by the gove rnment agencies for over six decades however, did not become human race in the public until the last two decades of the 20th century. This new technology allowed the user to enter comments or commands without keyboard functions or a mouse. This was truly hands free (Parente, Kock, Sonsini, 2004).The mid 1990s finally brought the induction of office recognition into the health care industry. Many doctors feared the use of this new technology and others disbelieved the capabilities which pr regularted them from using the system of rules. The phrase of the technology lacked the sophistication which would be required for its purpose. This program required the user to adapt to its capabilities instead of the program adapting to the user this was backward to how the program would ideally work. Having a cold or an accent make the technology sort of difficult to use.Computers were slower at processing information during this time in technological history this made the problem worse. With the early version of voice recognition it was sometimes hard to tell the difference between background noise and the users speech and the technology was much less than cost effective. The system generally started at $27,000 per workstation (Parente et al. , 2004, historical Development of Speech-Recognition Technology, para 6). The voice recognition system would be ameliorate upon and become an important part of the technology used in hospitals today.A wider understanding of medical vocabulary would be important for doctors to hold any faith in the system. Improvements were indeed made over time. the true rates rose dramatically, and doctors were no longer struggling for the right words for the system to understand and record. Newer systems even provided each user with an opportunity to teach the computer to understand the way that he or she speaks (Parente et al. , 2004, Historical Development of Speech-Recognition Technology, para 7). According to Business Source (2006), numerous hospitals are now using voice recognition technology with ease and finding the system quite dependable.Though expensive, using this technology to tack transcription can lead to savings of over $10,000 a year. Thus, adopting voice recognition solutions can decimate the need for in-house transcription staff, resulting in huge cost reduction (para 3). The voice recognition technology has many functional uses they include transcription, patient monitoring, interactive response systems, telemedicine as well as electronic health record generation, maintenance and security (Business Source, 2006 para 2).Though one must always be convinced(predicate) that patient privacy is protected, Wager, Lee, Glaser (2005) describes voice recognition, as a method used in health care which can best be used in work environments where using a keyboard, mouse, or colour screen is not practical. The newer systems are capable of understanding the speech of the user and how he or she applies the voice, by means of tone, pitch, and pattern then this is converted to computer-readable data (Wager, et al. , 2005, p. 220).The voice recognition does not come totally without injustices. The disadvantage of these systems is the time it takes to train the computer to recognize the speech. This is a particular challenge in an area with many users. Higher-end systems are designed to understand any persons speech, but most of these systems have clean limited built-in vocabularies. Most would agree that speech recognition is still under development and its use is most likely in certain segments of health care, such as radiology, pathology, and emergency medicine.However, it does have the authority to be used with many other types of health care applications (Wager, et al. , 2005, p. 220). The use of voice recognition systems besides requires the user to be aware of his or her surroundings. One must take precautions to restrict use to areas which are not accessible to the public, a s the voice whitethorn carry and patient information may be heard by wandering ears. Depending on the information this could be harmful to the patient (information used may lead to identity theft if overheard) and violate confidentiality laws.