Overcoming Issues Regarding Speech Recognition in Healthcare

Many errors are often accidentally inputted into the system, and as such, create endless problems for both the patients as well as the doctors who treat them.

What with the ever increasing regulatory compliance requirements as well as a greater number of patients, doctors and other professionals associated with the field of healthcare are often chronically overworked (with some doctors having 50+ patient interactions per shift). This is why many professional healthcare experts are now shifting towards technological innovations to optimize their work shifts.

However, the tedious paperwork involved with every patient and his or her records, not to mention diagnoses and treatment options, means that today’s physician spends more time making and filing reports on his PC instead of utilizing his work shift for the tasks that really matter i.e. taking care of his patients. In terms of patient documentation, the smallest error can often have tragic consequences. A single mistaken diagnosis or medicine may make an already ill patient even sicker.

This is where speech recognition devices come into the picture.

As an increasing number of doctors shift to VR (voice recognition) technology to feed documentation data into their files, the possibility of an error is always there. Apart from transcription errors there are many different types of issues that a physician might face when using this technology. Overcoming speech recognition problems in healthcare is crucial for success. Learn how voice recognition in healthcare is helping doctors and how to overcome common problems.

Delays in speech recognition

Physicians (and their staff members) have to face this issue. The system takes a long time to recognize the speech patterns of individually programmable user profiles. Programming has to take place laboriously, since it takes time for the machine to understand the different accents and adopt them accordingly.

Ambient noise
A microphone must always be available at every workstation (along with the relevant software). Nevertheless, even with a really good microphone, recording in a busy hospital or clinic setting is not always easy due to the ambient noise generated by patients, their family members and crying children.
Vulnerability to power outages

In case there is a power outage and the clinician dictating vital information on the machine is cut off midstride, he may well lose extremely important data that might be of pivotal significance regarding the health and welfare of the patient in question.

Existence of errors

Many errors are often accidentally inputted into the system, and as such, create endless problems for both the patients as well as the doctors who treat them. For example, a blood pressure medication may be mispronounced and inputted into the system as an entirely different medicine. The patient would not only be deprived of the medication he or she needs, but would actually end up with another one for an issue that he or she may not even have and as such be forced to deal with its side effect as well.

Such problems can be easily overcome with a bit of common sense and foresight. For example, using an ambient noise reduction microphone would help get rid of unwanted noise pollution while speaking clearly and slowly would also help ensure that the machine picks up the right words and inputs them accordingly. On the other hand, a UPS system would take care of many outage related problems as well.