Prealize Health:

The most advanced predictive analytics in healthcare. We are powering the future of healthcare with confidence and accuracy in action

Founded by two industry thought leaders from Stanford University and through continuous partnerships with Stanford, Prealize is committed to transforming healthcare from reactive to proactive, reducing healthcare costs and enabling more people to live healthier lives.

Our predictions include:

Predicting trends and future costs and how they impact group risk, premium pricing, and stop loss
Knowing each member’s future health events and when those events will happen
Identifying members who are most likely to engage and their preferred engagement channels

Our AI-powered predictions are up to 5x more accurate than other solutions

This precision in prediction uses our industry-leading MetisAI Model, developed at Stanford University. MetisAI sets a new standard for accuracy in healthcare prediction

Trains on client data, resulting in higher accuracy and precision
Consistently delivers more accurate predictions than traditional models
Predicts the likelihood of a health event AND when the event will occur: Time-To-Event (TTE)
At Prealize, we’re not just predicting the future of health- we’re shaping it for the better, one accurate insight
at a time.
Find out more

The Prealize Advantage:
What Sets Us Apart

A Proactive AI Foundation Model Solution
Built and trained exclusively on vast amounts of healthcare data, our model accurately predicts the next health event and Time-To-Event (TTE) to enable effective action.
Validated Technology with Proven Accuracy and Precision
Developed at Stanford University and through a continued partnership, we deliver 2.8x accuracy over traditional predictive and AI models.
Continuous Learning
Healthcare is dynamic and so are our models. We’re committed to ongoing refinement and improvement, ensuring our predictions remain ahead of the curve.

Our Solutions Deliver Improved Patient Outcomes, Operational Efficiencies, and Financial Performance

Financial Risk Management
Accurately predict financial risk, enabling more precise underwriting, pricing, and stop loss
Care and Condition Management
Precisely identify who will have health events, drivers of events, timing and cost of events
Member Engagement
Unambiguously determine members propensity to engage, channel preference and drivers of engagement

Before MetisAI:
How Prealize Leverages Foundational Research from Stanford’s MOTOR Model to Predict Key Health Events

This paper introduces the MOTOR model (Many Outcome Time Oriented Representations), a pioneering time-to-event (TTE) foundational model specifically designed for medical data. MOTOR leverages self-supervised learning on vast, timestamped sequences of patient data from electronic health records and insurance claims to predict the timing of medical events with improved accuracy and resilience. This research serves as a precursor to Prealize’s advanced work in predictive healthcare, laying the groundwork for more accurate and efficient healthcare solutions.

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December 11, 2024
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December 11, 2024
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December 11, 2024
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Join the Proactive Health Movement

Request a demo today and witness the transformative power of accurate healthcare predictions.

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