Our solution:
Machine learning enabled preeclampsia prediction software integrated with the EHR
Clinical Impact:
Personalized preeclampsia prediction using machine learning-enabled risk assessment software
![](https://www.thanzius.com/wp-content/uploads/2024/02/iStock-1540466231-scaled.jpg)
Ongoing, passive risk assessment to predict when blood pressure will spike to enable safe, timed births
Because hypertensive disorders of pregnancy are unpredictable
![](https://www.thanzius.com/wp-content/uploads/2024/02/iStock-1056092954-scaled.jpg)
personalized risk based on analytics of patient data collected in routine prenatal care
Because the current population-based risk assessment guidelines miss high-risk patients
![](https://www.thanzius.com/wp-content/uploads/2024/02/iStock-1189163296-scaled.jpg)
Improved risk assessment decreases preeclampsia- related hospitalization
Because the existing model of preeclampsia care is expensive
Societal Impact:
Cardiovascular health equity for underserved pregnant people using machine learning-enabled risk assessment software
We identify high risk pregnancies early enough to mitigate disease and arrange for specialist care because
60%
of deaths from hypertensive disorders of pregnancy are preventable with proactive care.
Our algorithms enable unbiased, quantitative risk assessment based on physiology because black, native and pacific islander moms are
2x-4x
more likely to die from hypertensive disorders of pregnancy than white women.
We empower generalist providers to accurately identify and escalate high-risk pregnancies because
33%
of U.S. Counties are maternity deserts.