Access validated AI solutions that work in the real world.
Curated models from leading health systems, validated in your environment before go-live. No vendor pitches. No unproven technology. Just solutions with results in real clinical settings.
The AI Selection Problem
Opaque Buying Process
By the time you understand an AI solution's performance, you've signed the contract. Vendors close deals and stop responding to data requests. You want to scale what works and sunset what doesn't; vendors just want to keep you locked into using their product.
Constrained Choices
EHR vendors offer convenient AI but rarely best-in-class solutions. Point solution vendors flood inboxes with impressive promises yet lack clinical experience. You're forced to choose between convenience and quality—or buy blind.
No Way to De-Risk
The most sophisticated health systems build AI internally. But organizations that can't dedicate data science teams to every use case have no reliable way to evaluate AI investment ROI before committing resources.
Our Marketplace Is Different
Vega Health is built on a simple premise: if a leading health system successfully integrated an AI model, every health system should access it.
Rigorous entry criteria.
Before any model enters the Vega Health Marketplace, it must meet three non-negotiable requirements:
Real-World Implementation
It must have been implemented in a real-world clinical context and demonstrated measurable results. Not just in-silico performance. Actual clinical or operational integration, with outcomes data.
Peer-reviewed Evidence
That evidence of success must be validated through publication in a peer-reviewed academic journal or as a pre-print publication undergoing peer review. This ensures independent verification of performance claims beyond vendor marketing.
Transparent Documentation
The developer must complete standardized documentation developed by the Health AI Partnership. This gives you complete transparency about the model’s development, training data, validation approach, and intended use before you make any purchasing decision.
Local validation before go-live.
Here's what makes Vega Health fundamentally different: you evaluate solutions using your own historical data before committing.
Local validation means running candidate models on your patient population with your data. You get reliable estimates of how models will perform for your patients—not vendor-provided metrics from different populations or optimistic projections. Want to compare multiple sepsis prediction models? Need to understand whether a solution will translate to your environment? Test it with your data first. This is our standard process.
Complete solutions, not just models.
Once local validation confirms a model performs well with your patients, we don't just hand you code. We configure a complete solution designed for your environment - building around the validated model with clinical or operational workflows that integrate with your staff's actual work, user interfaces intuitive for your team, and monitoring that tracks continued value after deployment.
We launched the Vega Health Marketplace with solutions built at the Duke Institute for Health Innovation - tools implemented and monitored over more than a decade. We're actively adding solutions from other leading health systems solving real clinical and operational challenges.
Built for your success.
Vega Health's business model depends on equipping you with AI solutions that deliver results for your health system. That creates fundamentally different incentives than the typical healthcare AI vendor.
Problem-1st
We start with your priorities. If the best solution for your use case comes from your EHR vendor, we'll evaluate it objectively and tell you if it outperforms alternatives. If your use case doesn't require AI at all, we'll tell you that too.
Transparent Evaluation
Local validation provides objective performance data from your environment. You're not relying on vendor metrics or case studies. You see exactly how a solution performs with your patients, workflows, and care model before deploying.
No Conflicts of Interest
We don't accept payment from model developers for placement. We don't earn higher margins recommending specific solutions. Our goal is helping you address priority use cases with solutions that deliver measurable results.
Start with your priority use case.
The best AI strategy starts with your strategic goals. Whether you’re trying to improve sepsis outcomes, reduce ED boarding, streamline prior authorization, or address another critical challenge, Vega Health can help.