AHIMA December 15, 2020
Professionals in health information management (HIM) and healthcare documentation have begun paying attention to the implications of speech-recognition and natural language processing (NLP) technology utilization.
NLP, a form of speech recognition, is a component of artificial intelligence (AI) and gives computers the capacity to identify, interpret, and use human language.
In theory, speech recognition enables healthcare delivery and documentation that is faster, more cost effective, and accurate than handwritten notes or human-based transcriptions.1 In reality, speech recognition technology has fallen short of its potential.
About 98,000 patients die annually due to preventable adverse events, some of which are attributable to incomplete or inaccurate medical documentation.2 Speech recognition accuracy is around 88 percent to 96 percent. However, speech recognition software vendors...
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