What You Should Know:
– Atropos Health, a leader in translating clinical data into high-quality, personalized, real-world evidence (RWE) for care, today announced the availability of AI model training on the Atropos Evidence Network, the largest federated healthcare data network with more than 300 million patient records.
– Atropos Evidence Network members can utilize certain de-identified real-world data (RWD) to train AI models and seamlessly deploy their technology via channel partner systems, including pharmaceutical companies and health systems like Stanford.
Transforming Healthcare Through Real-World Data and Responsible AI: Atropos Health’s GENEVA OS™
Atropos Health, the developer of GENEVA OS™, revolutionizes healthcare with an innovative operating system for rapid evidence generation from a robust real-world data (RWD) network. Collaborating with healthcare and life science organizations, Atropos Health bridges evidence gaps from research to patient care, enhancing individual outcomes through data-driven care and accelerating advancements in medicine.
Advancing AI Model Training Across the Healthcare Ecosystem
Atropos Health facilitates AI model training, benefiting key stakeholders within the healthcare ecosystem:
- AI Developers: Test tools and applications, including artificial intelligence (AI), machine learning (ML), large language models (LLM), and natural language processing (NLP), using high-quality RWD from the Atropos Evidence Network.
- Health Systems: Evaluate in-house AI models on the largest federated healthcare data network while adhering to standards for AI transparency and bias detection. Institutions can also partner with advanced models developed by others.
- Life Sciences Organizations: Build, test, train, and distribute AI models to uncover overlooked patient populations, leveraging Atropos Health’s provider network for real-world applications.
- Partners and Data Holders: Extend data value through new use cases while maintaining possession and control, improving their Real-World Data Score™ (RWDS) and enabling data monetization opportunities.
Harnessing the Power of Real-World Data
Training AI models on real-world data is critical to ensuring the safety, efficacy, and accuracy of AI tools in healthcare. Atropos Health prioritizes responsible AI and patient safety, enabling healthcare organizations to integrate AI tools that deliver precise recommendations to researchers and clinicians. This focus improves overall patient care and outcomes, fostering innovation without compromising safety.
GENEVA OS™: Setting the Standard for Quality and Automation
The GENEVA OS™ technology has been deployed at leading healthcare and life science institutions, establishing a standard for automated evidence and insight generation. Recent advancements include extending core vector database capabilities to support classifier and AI model development, underpinned by principles of quality, transparency, and automation. These developments simplify data acquisition, preparation, and infrastructure, empowering users and partners to train high-quality predictive models.
Key Capabilities of the Atropos Evidence Network
- Immediate access to vector databases and a Clinical Definitions Library (CDL) for AI classifier development.
- Unified data representation through a Patient Object Vector schema for streamlined organization and training.
- Data Quality ScoreCards providing confidential, transparent feedback to data contributors, benchmarking their data quality against network averages and offering actionable improvement suggestions.
Collaborations Driving Innovation
Notable network members include a top-five pharmaceutical company and QuantHealth, an AI-powered drug development platform. QuantHealth utilizes Atropos Health’s RWD to enhance its Clinical-Simulator, enabling precise forecasts of individual patient responses within clinical trials. This approach optimizes trial design and strategy by anticipating overall dynamics.
“Atropos Health’s GENEVA OS™ empowers users to leverage cutting-edge technology for developing and testing AI models with unmatched quality and transparency,” stated Dr. Brigham Hyde, CEO and Co-Founder. “This innovation eliminates barriers to data preparation, enabling transformative advancements in predictive modeling and healthcare delivery.”
Through its commitment to responsible AI and real-world evidence, Atropos Health continues to drive progress across the healthcare landscape, enabling groundbreaking solutions for patients and providers alike.
