Blog

Disrupting Age-Old Models in Healthcare

Disrupting Age-Old Models in Health Care

Some of the biggest hospitals in the country believe that speech recognition technology could be a disrupting healthcare. In reality, many are seeing that it is the wave of the future. However, a lot of people in healthcare still want to cling to their old ways.

Speech recognition technology is now increasingly being seen as a new way of working. This technology has found a lot of acceptance among people who are employed by the healthcare sector. In fact, hospitals and other medical facilities are rapidly expanding their usage of voice recognition software.

Winning Over Older Doctors

Most older doctors have spent their lives jotting down notes and having them typed by the support staff. They do not trust speech and voice recognition technology and still prefer to do things the old-fashioned way. Such skeptical end users are currently the major reason behind the slow acceptance of this technology. Unfortunately, they can be found in most departments and specifically the administration of the healthcare facility.

The best way of dealing with such die-hard opponents is to win them over. Once they have been taken into confidence and see for themselves the tremendous advantage of using speech recognition software, it is a foregone conclusion that their opposition will vanish.

This is due to the amazing ROI that can be derived from this technology.

Some of the best results have been found in the following fields:

  • Significant time saving when transcribing important documents
  • The creation of comprehensive patient narratives
  • A substantial reduction in transcription costs

However, these are purely administrative benefits. From the doctor’s point of view, the massive changes required in their usual SOPs (standard operation procedures) make them resistant to this change. Moreover, they also believe that they are made to do clerical work when they transcribe notes via speech recognition software.

Clinical Documentation Quality

Today, there is a lot of emphasis on documentation. Primarily to combat compliance-related issues. This means that doctors have to take a lot of notes. But there are very few highly trained and experienced medical transcriptionists for the job at hand. Consequently, the doctors have to wait until one becomes available. This means that a lot of precious time is wasted both before and during the transcription process. Once they accept this change and embrace it with open arms, such long waiting periods will end.

In light of the above, it is patently obvious that speech recognition technology definitely possess the potential to effectively revolutionize documentation in the healthcare industry. However, that is only possible if its detractors are won over.