Transcription, be it medical or legal, or medicolegal, typing is practically inseparable component of it and the speed varies from person to person.  Some are slow and some are fast, hence the variable productivity.

Then the question arises, how can we help it out and achieve greater productivity and quality standards?

The software field has provided us with an answer.  i.e.  Voice recognition systems

We were highly sceptical about the benefits we could achieve from the voice recognition software (VRS) system.

Hence we decided to give it a go and started using a VRS platform and since starting to use this system in Xanadutec, Warje Unit, it has indeed brought out a great change in our work.

TAT is the focal point in Transcription.  It has to be maintained at any cost without compromising on quality.  Due to manual typing being laborious, even after setting targets for line count, at the end of the day we used to still be left with loads of transcription work yet to be finished, which could have brought out TAT pressures and create unnecessary tensions, obviously hampering our quality.

Due to this solution, it is a different scene now.  In terms of productivity, we have noticed that our unproductive time has cut been down significantly and we are more productive due to less manual transcription work.

As quality is our aim and motto, we now utilise this benefit of spared time to achieve more greater productivity and to establish high quality control so that our client gets good work within less turnaround time and he can be fast with his future work and decisions, hence creating a Win-Win Situation for both of us.

The return on Investment or the monetary benefits derived from having spent money is highly positive in the long term.

We always leverage technology and improvement in processes to drive production and quality. Xanadu firmly believes in keeping ahead of the curve.

Our Software team will continue to tweak the system and the next goal is to add NLP (natural language processing) capability to our platform. This ability will further help automate and strengthen our quality layer. Our NLP engine understands “text” and will assist our QA team by highlighting discrepancies in text.

This is the future and we want to be a part of building it.