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Atropos Health to Launch Pilot with Stanford Health Care to Integrate Personalized Evidence into the Point of Care via Ambient Workflows, Reducing Physician Burden

Building on investments in ambient workflows, the multi-year relationship between Atropos Health and Stanford Health Care on the use of the Green Button™ will expand and further integrate high quality evidence into physician workflows and grow institutional advancements in AI technology

PALO ALTO, Calif.--(BUSINESS WIRE)--Atropos Health, a leader in translating real-world clinical data into personalized real-world evidence (RWE) and insights, today announced further integration with Stanford Health Care, to extend the availability of evidence within the electronic health record. Atropos Health, already installed inside Stanford Health Care’s firewall, will now generate evidence that will help clinicians finalize their encounter notes, including those generated by the hospital’s ambient AI provider, DAX from Microsoft, without having to leave their existing workflow. Stanford’s previously announced, Patients Like Mine initiative will be advanced through this additional Atropos Health integration.

With this integration, Stanford is leveraging Atropos Health’s evidence generation platform and advanced AI technology to answer clinical questions with RWE before the question is asked. The pilot will evaluate provider satisfaction, including time savings and use of RWE for treatment decisions. Stanford’s clinicians already rely on the Green Button™ for RWE delivered in <48 hours and ChatRWD®, healthcare’s generative AI application to deliver full observational studies in minutes.

"The key to maximizing the value of technology is to make seamless integrations that reduce friction on provider workflows,” said Dr. Brigham Hyde, CEO and co-founder at Atropos Health. "Integrating personalized evidence from Atropos Health with ambient AI and the EHR demonstrates Stanford’s commitment to adopting solutions that improve clinician satisfaction and drive better outcomes. This takes us one step closer to realizing the dream of personalized care and the Learning Health system while also maximizing convenience and workflow for physicians."

“Over our multi-year collaboration with Atropos Health, we’ve seen significant benefit when it comes to advancing research and providing evidence-based medicine at the bedside,” said Michael Pfeffer, SVP and CIDO for Stanford Medicine. “We are seeing additional opportunities to leverage AI-enabled technology to ultimately benefit patients through personalized medicine with this program.”

Customers rely on Atropos Health’s portfolio of evidence-generation tools through the federated installation of GENEVA OS™ in their internal cloud data environment. GENEVA OS customers can access Alexandria™, a collection of tens of thousands of existing studies, as well as pre-existing content packages including pharmacy, value based care, and care management and many more. The existing studies in Alexandria can be rerun on local data, generating novel content and evidence for customer use.

This announcement follows Atropos Health’s strategic collaboration with Ontada®, a McKesson business and leader in community oncology RWD, clinical education, and point-of-care technologies, which enhances the use cases for clinicians, researchers, and healthcare leaders to design care protocols, advance precision medicine and develop new treatments in oncology.

About Atropos Health

Atropos Health is the developer of GENEVA OS™, the operating system for rapid healthcare evidence across a robust network of real-world data. Healthcare and life science organizations work with Atropos Health to close evidence gaps from bench to bedside, improve individual patient outcomes with data-driven care, expedite research that advances the field of medicine, and more. We aim to transform healthcare with timely, relevant, real-world evidence.

To learn more about Atropos Health, visit www.atroposhealth.com, connect through LinkedIn, or follow on X @AtroposHealth.

Atropos Health


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