Atropos Health’s platform, including GENEVA OS™ and the Atropos Evidence™ Network Launches AI Model for Precision Medicine at Scale
Atropos Health, the pioneer in translating real-world clinical data into personalized real-world evidence, announced the deployment of AI models for patient identification of patients living with undiagnosed conditions. The AI models will be deployed to clinicians by members of the Atropos Evidence™ Network.
Atropos Health AI-built models are developed, trained, and tested using real-world data (RWD) from the Atropos Evidence Network to reduce the time from initial symptom to testing, diagnosis and treatment at the point of care. The models are created by Atropos Health medical doctors, epidemiologists, statisticians, and Masters / Phd level personnel. Implementing the models will save practicing clinicians time and improve patient experience by identifying conditions earlier and reducing time to treatment.
“Increasing the speed, inclusivity and accuracy of precision medicine is the power of Generative AI in practice,” said Dr. Brigham Hyde, CEO and co-founder at Atropos Health. “By utilizing the portfolio of Atropos Health services such as GENEVA OS and the Atropos Evidence Network, precision medicine based on RWE is becoming a reality and reducing the time from symptom to treatment leads to better outcomes for patients and better experiences for providers.”
Customers rely on Atropos Health’s portfolio of evidence-generation tools and the Atropos Evidence™ Network, the industry’s largest federated healthcare data network, with over 300 million patient records, to accelerate precision medicine. Atropos Evidence Network members can access more RWD and the right data for each question backed by the Real World Fitness Score™ (RWFS), which evaluates the appropriateness and quality of data for each question. These additional datasets also increase the opportunity for partners to find more “fit-for-purpose” data. Atropos Evidence Network members also benefit from the ability to leverage network members, such as Arcadia, to deliver AI models to clinicians.
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Atropos Health is collaborating with Arcadia to help leading healthcare organizations deliver the latest care protocols and advanced precision medicine at scale. The partnership between Arcadia and Atropos Health enables healthcare providers to accelerate clinical decision-making with actionable, AI-powered insights at the point of care using the combination of real-world evidence and longitudinal patient records to improve outcomes and drive high-value, low-cost care.
Life sciences companies are engaged with Atropos Health on leveraging AI for precision medicine and today’s announcement comes on the heels of Atropos Health launching AI tools for Atropos Evidence™ Network members and the growth of the Atropos Evidence Network. The Atropos Evidence Network already includes an impressive slate of leaders in the healthcare data ecosystem and recently added Forian, Syndesis Health, and Norstella. Atropos Health offers automation and standardization of AI model training, testing, and deployment to healthcare AI developers. AI developers can now build at scale and meet emerging AI assurance standards, putting their technology to use to improve patient outcomes. The Data Quality ScoreCard provides data holder members of the Atropos Evidence Network a confidential way to measure, evaluate, compare, and benchmark their data quality based on objective criteria, underscoring the importance of data quality and transparency in methodology.
Source: Businesswire
