Although consumer applications like Amazon Alexa are well-equipped to pick up on the kinds of words people use in their day to day lives, virtual assistants in the medical profession need to “understand” very specific domain language that can vary by department.Ī dermatologist is going to use many different words than an orthopedic surgeon when dictating their notes, and any useful voice recognition software a healthcare company builds will need to be trained differently depending on the department for which it is intended.Īs a result, healthcare networks will likely need to instruct their physicians to begin recording their notes as audio files before they manually type them into the network’s system. Adopting Voice Recognition Software in Healthcare Networksīuilding voice recognition software for medical transcription is no easy feat.
We also highlight Nuance Communications’ EMR Transcription Application as a good example of voice recognition software in the healthcare industry. This article details the medical transcription use-case and provides business leaders in healthcare with reasonable expectations for adopting artificial intelligence solutions like voice recognition software in their industry.
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Physicians use it to dictate their notes into their healthcare network’s system or update patient electronic medical records (EMR). Voice recognition software, built on natural language processing (NLP) algorithms, primarily finds a home in the doctor’s office. In this brief overview, we run through several use-cases for voice recognition software in the healthcare industry.
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