Atropos Health announced on Monday the deployment of AI models to identify patients living with undiagnosed conditions. These AI models will be made available to clinicians through members of the Atropos Evidence Network. According to the company, Atropos Health's AI-built models are developed, trained, and tested using real-world data (RWD) from the Atropos Evidence Network, which includes over 300 million patient records. The goal is to reduce the time from initial symptoms to testing, diagnosis, and treatment at the point of care.
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Developed by Experts, Powered by Real-World Data
The models are created by Atropos Health medical doctors, epidemiologists, statisticians, and experts. Their implementation is expected to save clinicians time and improve the patient experience by enabling earlier identification of conditions and faster treatment, the company said.
"Increasing the speed, inclusivity and accuracy of precision medicine is the power of Generative AI in practice," said 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."
Role of the Atropos Evidence Network
Atropos Health noted that members of the Atropos Evidence Network can access more RWD tailored to their specific needs, supported by the Real World Fitness Score (RWFS), which evaluates the relevance and quality of data for individual inquiries. These additional datasets enhance opportunities for partners to identify "fit-for-purpose" data.
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Partnerships to Drive Actionable Insights
The partnership between Arcadia and Atropos Health allows healthcare providers to accelerate clinical decision-making with actionable, AI-powered insights at the point of care. By combining real-world evidence with longitudinal patient records, the partnership aims to improve outcomes while driving high-value, cost-effective care.
The Evidence Network recently expanded its partnerships to include organizations such as Forian, Syndesis Health, and Norstella. Atropos Health offers automation and standardization of AI model training, testing, and deployment for healthcare AI developers. These developers can now build at scale and meet emerging AI assurance standards, applying their technologies to improve patient outcomes, the company said.
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Data Quality ScoreCard
Additionally, Atropos Health highlighted the importance of data quality and transparency in methodology through its Data Quality ScoreCard. This tool provides data holder members of the Atropos Evidence Network with a confidential way to measure, evaluate, compare, and benchmark their data quality based on objective criteria.
