Amazon Comprehend Medical can also link the detected information to medical ontologies such as ICD-10-CM or RxNorm so downstream healthcare applications can use it easily. You can quickly and accurately gather information (such as medical condition, medication, dosage, strength, and frequency), from a variety of sources (like doctors’ notes, clinical trial reports, and patient health records). Amazon Comprehend Medical is a natural language processing (NLP) service that makes it easy to use ML to extract relevant medical information from unstructured text. You have discrete control over your voice data within your contact center to build the experience your customers prefer.Īmazon Transcribe Medical is an ML service that makes it easy to quickly create accurate transcriptions between patients and physicians. Twilio Media Streams works in the context of a traditional Twilio voice application, like an Interactive Voice Response (IVR), that serves customers directly, as well as a contact center, like Twilio Flex, where agents are serving consumers. For non-healthcare industries, you can use this same solution with Amazon Transcribe and Amazon Comprehend. In this post, we show you how to integrate Twilio Media Streams with Amazon Transcribe Medical and Amazon Comprehend Medical to transcribe and analyze data from phone calls. Twilio, an AWS partner, offers real-time telephone voice integration. To transcribe voice in real time, providers need access to raw audio from the call while in-progress. To address this issue, AWS launched Amazon Transcribe Medical, an automatic speech recognition (ASR) service that makes it easy for you to add medical speech-to-text capabilities to your voice-enabled applications.Īdditionally, Amazon Comprehend Medical is a HIPAA-eligible service that helps providers extract information from unstructured medical text accurately and quickly. Transcribing such data needs medical/healthcare-specific machine learning (ML) models. However, medical voice data often uses complex medical terms and abbreviations. Generic artificial intelligence-based transcription models can be used to transcribe voice to text. By automating transcription, providers can quickly and accurately provide patients with medical conditions, medication, dosage, strength, and frequency. Medical providers often need to analyze and dictate patient phone conversations, doctors’ notes, clinical trial reports, and patient health records.
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