Atropos Health, renowned for its real-world data platform, has taken a significant step forward by introducing an AI chatbot designed to accelerate the generation of real-world data-driven evidence for healthcare professionals.

This breakthrough involves the unveiling of a novel operating system and chatbot interface, specially crafted to streamline the swift and scalable creation of observational studies. Powered by generative AI technology, this system empowers non-technical users to effortlessly query real-world clinical data, yielding publication-ready results within minutes. All of this is achieved while maintaining stringent data security measures and ensuring compliance with HIPAA regulations within an organization’s cloud environment.

This remarkable capability builds upon Atropos’s existing product, the Green Button Informatics Consult Service, which empowers clinicians to conduct observational studies on patient data within an impressive 24-hour timeframe. Established in 2020 as a spin-off from Stanford University, Atropos positions itself as a consultation service catering to the needs of healthcare providers.

The most recent milestone in Atropos’s journey is the introduction of ChatRWD, a chatbot fueled by a powerful language model. This innovative tool significantly accelerates the pace at which observational studies are produced, while its user-friendly interface eliminates the need for a data scientist to be intricately involved in the process.

ChatRWD leverages a vast network of de-identified patient records for queries, and subsequently executes the necessary statistical analysis while formatting the findings into comprehensive observational study reports. This represents a paradigm shift from the traditional timeline of weeks or even months required for such studies.

During the autumn season, ChatRWD is made available to all users in its Beta stage and is currently open for sign-ups. Users can harness the chat application without the need to download the Geneva OS. However, it’s important to note that their querying capabilities will be restricted to data available within the Atropos network, rather than their own datasets.

Atropos has already delivered thousands of such studies to medical professionals and researchers. According to Hyde, this technology shines most brightly in scenarios where patient outcomes are of paramount importance, existing literature or evidence is scarce, and therapies or procedures carry significant cost implications. Notable partners in Atropos’s collaborative network include esteemed institutions like the Mayo Clinic and ASCO CancerLinQ.

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