Google Launches LLM Focused on Healthcare

Google has introduced MedLM, a collection of base models tailored for the healthcare industry, making it available to select Google Cloud customers in the United States through the Vertex AI platform.

Two Med-PaLM 2 models are currently built within MedLM. The first MedLM model, larger in size, is designed for complex tasks. The second, medium-sized model is adaptable for fine-tuning and features cross-task scaling.

Major technology vendors are constantly racing to upgrade their AI platforms with regular improvements as forecasts show that the global healthcare AI market will reach nearly US$188 billion by 2030.

Ambient Battle

Over the past few months, Google and HCA Healthcare have collaborated on a pilot solution at four hospital emergency department sites. This initiative helps doctors with their medical notes by deploying the Augmedix app on a hands-free device. The app allows doctors to create accurate and timely medical notes directly from clinician-patient conversations. The Augmedix platform uses natural language processing and Vertex AI’s Google Cloud MedLM to instantly transform conversation data into draft medical notes. Physicians then review and finalize these drafts, ensuring accuracy before transferring in real time to the hospital’s electronic health record (EHR).

Other prominent technology vendors are also playing in the surrounding space. AWS offers HealthScribe, a tool that analyzes consultation conversations to create summary clinical notes for sections such as chief complaint, current medical history, assessment, and treatment plan. Organizations can then integrate these summaries into clinical applications, helping clinicians and medical scribes effectively summarize the highlights of patient visits. Companies using AWS Healthscribe are 3M Health Information Systems, NetSmart, Suki, and Teletracking.

Microsoft provides Nuance Dragon Ambient eXperience (DAX), which also captures clinician-patient conversations, translates them into notes using ChatGPT-4, and integrates them into the EHR. Microsoft partnered with Epic to develop and integrate generative AI into Epic’s EHR.

Other use cases

BenchSci, Accenture and Deloitte use MedLM in their product and service offerings. BenchSci integrates MedLM into its ASCEND platform, accelerating drug development and increasing the quality of preclinical research.

Accenture offers Solutions.AI, which can interpret structured and unstructured data from multiple sources to automate manual processes that were previously time-consuming and error-prone.

Deloitte collaborates with MedLM to improve the insurance member experience and reduce the stress of finding care. They accomplish this through an interactive chatbot that helps health plan members better understand the provider options covered by their insurance plans.

In conclusion, the healthcare sector is optimistic about using generative AI to tackle burnout and increase efficiency. Big tech companies are rapidly developing their AI offerings, and the critical factor will be the speed with which these companies achieve widespread adoption of their platforms.

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