Challenges of Speech Recognition in The Medical Service Industry

These days, speech recognition is taking over the world by storm, and medical care facilities are certainly no different either. However, all new technological innovation brings with it, its own unique brand of challenges, regardless of how great and promising the new and upcoming technology may well be.

The same holds true for voice recognition as well. In fact, the more widespread has its usage become, the more have the ‘old guard’ of senior doctors stubbornly clung to their old practices of manually updating their notes with the help of a transcriptionist. This is chiefly because of the fact that they have spent a veritable (professional) lifetime jotting down their very own notes. These sceptics do have sound reasons for being a tad wary with regard to the enthusiastic embracing of this radically new technology.

As a matter of fact, some of the key challenges that require urgent attention include the following:

Ambient noise

This is by far and wide, one of the single biggest challenges that the current wave of SR technology has to face. Hospitals as well as other health care facilities tend to be intrinsically noisy places, and the more sensitive the recording device, the easier it is to pick up such ambient noise and include it into the transcription, per se. In fact, it is deemed highly challenging for the voice recognition software to actually be able to differentiate the real speech and separate it from the ambient noise.  If this problem is not rectified properly, the odds are that it could easily lead to potential errors because the software might not be able to recognize the speech from the background noise and the real message would end up getting garbled during the process.

Working with different accents

Most of the current iterations of medical speech recognition software tend to be very sensitive towards the accent of the speaker and they have to in effected be ‘trained’ to recognize a specific voice or accent so as to minimize the potential for inadvertent errors. This is certainly not an easy task by any means, whatsoever.

Coping with power outages

If the doctor is recording a critically important piece of information and there is a power outage, the chances are that the data might be lost permanently. This problem cannot occur if the doctor records his data manually, with the help of a paper and pencil.

In the light of the above, we can safely conclude that in spite of the fact that medical speech recognition software does have a lot of potential to improve the overall productivity of the physicians as well as other health care industry operators, but nevertheless it does come saddled with certain challenges that have to be taken into consideration, before it gains widespread acceptance amongst its many detractors.