Ambient Neural Language Model

 Today, we’re discussing large language models and ambient natural language models in healthcare. Ambient natural language models, like those developed by Augmedix Inc., transcribe doctors’ spoken words into electronic health records in real-time, enhancing accuracy and reducing physician burnout. This technology alleviates the burden of endless typing into systems like EPIC, which dominates 50% of U.S. hospitals. The pandemic has exacerbated this issue, causing significant physical exhaustion among healthcare workers.

Since the introduction of electronic health records (EHR) by Obamacare, there have been benefits such as instant data sharing and readable records. However, the need to input data manually has been a major drawback, leading to the use of scribes. The advent of AI and ambient natural language models represents the next revolution in healthcare, promising to free up physicians’ time, improve patient interactions, and efficiently manage communication tasks. Companies like OpenAI, partnering with Stanford Health and Mayo Clinic, are at the forefront of this change, making this an exciting development for the future of medicine.