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Introducing Medical Mode: Purpose-built accuracy for medical terminology

Blog post from AssemblyAI

Post Details
Company
Date Published
Author
Madison Bernstein
Word Count
1,202
Company Posts That Month
26
Language
English
Hacker News Points
-
Post removed?
No
Summary

Medical Mode is a newly released feature designed to enhance the accuracy of speech recognition in medical settings by specifically improving the transcription of medical terminology such as drug names, dosages, and clinical diagnoses. Traditional general-purpose automatic speech recognition models often fall short in clinical environments by failing to accurately transcribe critical medical terms, potentially leading to errors in downstream AI-driven processes like clinical documentation. Medical Mode addresses this issue by applying a correction pass optimized for medical entity recognition, ensuring that errors are caught before they propagate. This feature is available in multiple languages and works across both pre-recorded and streaming speech-to-text models, with compliance standards such as HIPAA, SOC 2 Type 2, ISO 27001:2022, and PCI DSS v4.0 maintained. The service is offered at a competitive rate compared to other medical transcription services, promising better accuracy in recognizing medical entities, thus making it a valuable tool for healthcare teams needing real-time accurate transcriptions for clinical documentation, front-office automation, and multi-speaker clinical conversations.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
LLM 7 6,078 960 218 +18%
Real-time 6 6,457 1,307 242 +28%
Voice AI 2 2,447 202 43 +13%
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