Amazon Transcribe Medical

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Amazon Transcribe Medical – Real-Time Automatic Speech Recognition for Healthcare Customers | AWS News Blog

Thanks to Amazon Transcribe Medical, physicians will now be able to easily and quickly dictate their clinical notes and see their speech converted to accurate text in real-time, without any human intervention. Clinicians can use natural speech and do not have to explicitly call out punctuation like “comma” or “full stop”. This text can then be automatically fed to downstream applications such as EHR systems, or to AWS language services such as Amazon Comprehend Medical for entity extraction.


Amazon Transcribe Medical is a machine learning service that makes it easy to quickly create accurate transcriptions from medical consultations between patients and physicians. With Transcribe Medical, the medical and pharmacological terms used in physician dictated notes, practitioner/patient consultations, and tele-medicine are automatically converted from speech to text for use in clinical documentation applications.

Accurate medical transcriptions are expensive, take too much time, or are disruptive to the patient experience. In many hospitals and clinics, physicians will use a recorder to dictate notes that are sent to a third party who manually transcribes the voice file, an expensive and time consuming process that takes multiple days to complete. Others choose to use human scribes, which can be distracting and uncomfortable for patients and clinicians. Some organizations have tried to use existing medical transcription software, but complex medical language can be difficult to transcribe, leading to inefficiency and poor accuracy that can cause serious consequences. Conversations between health care providers and patients provide the foundation of a patient’s diagnosis and treatment plan, and is the start to any clinical documentation workflow. For example, a workflow can include the conversation between a physician and patient, entering the prescription into an electronic health record (EHR) system, and electronically sending the order to the pharmacy. It’s critically important that this information is accurate.

Amazon Transcribe Medical uses machine learning to provide highly accurate automatic speech recognition (ASR) for the medical industry. You can use Transcribe Medical to quickly and efficiently capture physician-patient conversations in text for later analysis using natural language processing or for entry into electronic health record (EHR) systems, because the service is trained to understand the terminology and style of clinical language. With Transcribe Medical, physicians are able to better focus on their patient and provide a more attentive experience instead of interrupting the conversation for note taking.

Transcribe Medical is HIPAA eligible and integrates easily with clinical documentation applications and any device with a microphone. This could include a mobile application that transcribes the entire conversation between physician and patient, or a software application on a computer that captures a dictation from a physician after the patient visit. Then, transcriptions can automatically be sent to a natural language processing service like Amazon Comprehend Medical. Comprehend Medical uses machine learning to extract relevant medical information from transcriptions, such as medical condition, medication, dosage, strength, and frequency. This information can be used for summarizing notes, clinical decision support, revenue cycle management (medical coding), and clinical trial management.
 
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