Revamping Healthcare with Speech Recognition Technology

Speech recognition technology in action: our experience

About the solutions, main development challenges, and tasks

Suggested solutions

  1. 1. The commands are given to the application.
  2. 2. The system creates an audio file.
  3. 3. Next, we connect to web sockets and transfer the audio file.
  4. 4. Through the client’s API, the system receives a text version of the commands.
  5. 5. The system follows the commands.

What are the key advantages of utilizing speech recognition technologies in healthcare?

Handling possible disadvantages when implementing speech recognition

  • Misinterpreting of words is often an issue based on a user’s accent, amount of information software possesses to comprehend, or contextual meaning of a specific word. To minimize error occurrence, software development teams get the system acquainted with as many terminologies, slang, etc. as possible.
  • HIPPA and GDPR Compliance is a must as the software holds and handles medical records which are sensitive data and are vital to be protected. Hence, constant monitoring and testing are required to prevent any data breach or leak.
  • Expensive development is another reason that stops organizations from implementing speech recognition and aid with mundane tasks. Today, many solutions aren’t costly or time-consuming to create. It is not necessary to develop software from scratch, but use low-level programming and make an add-in to existing applications an organization works with.




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