This type of SR technology is popular among healthcare organizations because generated texts are edited by a person, which makes them more reliable for drawing up healthcare documents and EHR records. The system sends a generated draft document with a voice record for a proofread to a medical transcriptionist or a doctor. With back-end speech recognition technology, spoken words are recorded into a digital form and then translated into text. There are 2 types of speech recognition (SR), which can be used separately or together in your mobile or web application. For example, the majority of the respondents noticed an improvement in documentation quality and completeness as well as a decrease in time spent on documenting a patient encounter after implementing a speech recognition solution.īefore these numbers make you rush into creating your own speech recognition solution or adding speech recognition to your healthcare product, I’d like to walk you through the essentials of this technology and make sure you understand its specifics and are ready to face possible (but completely manageable) implementation difficulties it can pose. Being so technically mature, it becomes increasingly popular among care providers as it yields impressive results. The accuracy of modern voice recognition technology has reached 99%. If you are interested in opportunities voice recognition functionality can bring to your medical software product, you are welcome to turn to our medical IT experts. Editor’s note : Relying on ScienceSoft’s experience in software development for healthcare organizations since 2005, SaaS companies, and medical device manufacturers, Alena describes the possibilities of speech recognition technology in the healthcare industry and shows how to avoid its main implementation risks.
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