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Augmedix Brings Medically-Tuned AI Technology to Ambient Documentation

Augmedix Brings Medically-Tuned AI Technology to Ambient Documentation

The general availability launch of MedLM will further advance Augmedix’s ambient medical documentation product performance

Augmedix a healthcare technology company that delivers industry-leading, ambient medical documentation and data solutions, announced that it has been piloting Google Cloud’s Med-PaLM 2 and will integrate Google Cloud‘s newly introduced MedLM technology into its technology stack. This model suite uses the latest AI developments adapted for healthcare use cases and meets Augmedix’s stringent requirements around AI safety, compliance, and enterprise scalability.

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MedLM, now generally available to allowlisted customers, builds on Google Cloud’s Med-PaLM 2 generative AI (gen AI) large language model (LLM). MedLM is purposefully built to provide high-quality generative AI output in the medical domain. It comes with a suite of medically-tuned models for different use cases—delivering the best of Google Cloud’s gen AI capabilities to the healthcare industry. Importantly, Augmedix uses Google Cloud’s Vertex AI platform to develop  its own proprietary solutions using training data created by Augmedix’s existing technology that generates 70,000 notes per week and spans more than 30 specialties1.

“Generative AI solutions for use in healthcare delivery require a more tailored and precise approach than general purpose LLMs can provide, which is why we value our strategic partnership with Google Cloud,” said Augmedix Founder, Director, and Chief Strategy Officer Ian Shakil. “Google Cloud has established its leadership as an AI innovator with solutions specifically designed to address the needs of healthcare providers.”

In recent months, Google Cloud has been closely iterating with Augmedix to ensure optimized performance in challenging, real-world medical use cases through ambient documentation, where relevant medical information is recorded and captured from natural clinician-patient interactions at the point of care. Augmedix now plans to incorporate MedLM into its machine learning platform across its suite of products. Integrating MedLM into its ambient medical documentation products will elevate the quality of medical note output, provide faster turnaround times, and enable Augmedix to rapidly expand into more sub-specialties through 2024. This new technology will be integrated into the recently launched Augmedix Go, a clinician-controlled mobile app that instantaneously creates a fully automated draft medical note after each patient visit, and will soon be incorporated into all Augmedix documentation products.

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“Generative AI has enormous potential to automate one of the most time-intensive and tedious tasks in healthcare—capturing accurate medical notes of doctor-patient interactions,” said Thomas Kurian, CEO, Google Cloud. “We are committed to advancing solutions that allow organizations like Augmedix and its health system clients to address these and other challenges in the healthcare industry. Our launch of MedLM and partnership with Augmedix exemplifies our commitment to solve these once-intractable problems.”

This integration of MedLM is an exciting milestone for Augmedix customers such as HCA Healthcare, who introduced Augmedix’s documentation products to four hospitals earlier in 2023.

“We’ve introduced Augmedix’s technology into some of our hospitals this year,” said Michael J. Schlosser, MD, MBA, FAANS, Senior Vice President of Care Transformation and Innovation, HCA Healthcare. “I’m pleased to see that our innovative partners at Google Cloud and Augmedix are continuously focused on advancing their products to streamline workflows and allow caregivers to focus on what matters most, patient care.”

Google Cloud’s customers retain control over their data. In healthcare settings, access and use of patient data is protected through the implementation of Google Cloud’s reliable infrastructure and secure data storage that support HIPAA compliance, along with each customer’s security, privacy controls, and processes.

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