Voice Recognition Technology and Healthcare
Jessica Kane, professional blogger who writes about technology and other gadgets and gizmos aplenty, currently writing for Total Voice Tech.
Voice recognition has come a long way since its early days when you had to train a computer to recognize your voice and speak in a very flat and monotone voice. As voice recognition increases in popularity and use, it’s going to increasingly find its way into the medical field. Voice recognition software is used in an increasingly large number of hospitals since it provides an easy to access transcript of past medical history.
The Role of Voice Recognition in Healthcare
Voice dictation software is slowly replacing the role that a medical transcriber used to play. By moving away from a transcriber, the doctor is placed in a position where they have greater control over their patient records. When documentation is more in control of the physician in charge, there is less processing involved and the documents are ready for distribution at a much faster rate. This can be a significant advantage for patients who need to have medical records quickly shared between various doctors. Voice recognition’s main role in medicine is to provide better and more efficient documentation.
The Merits of Voice Recognition in Healthcare
In terms of employment for medical transcribers, the practice of using voice recognition software to quickly transcribe records could be problematic. However, trusting medical transcriptions to a voice recognition program might not be the most responsible solution either. A human being should still review the records before submission to make the records are accurate and suitable for distribution. By incorporating a human component in the document creation process, it helps to reduce the chance for errors in the documentation process while still saving time.
The Reduction of Handwriting Mistakes
The issue of illegible handwriting is a serious issue in medical documentation. When documentation can’t be deciphered, valuable information may get lost or distorted. Speech-to-text methods of creating documentation may create fewer issues, especially if a medical transcriber listens to a recorded version of the transcript to check the medical documentation.