Our solution:
Machine learning enabled preeclampsia prediction software integrated with the EHR
Clinical Impact:
Personalized preeclampsia prediction using machine learning-enabled risk assessment software
Ongoing, passive risk assessment to predict when blood pressure will spike to enable safe, timed births
Because hypertensive disorders of pregnancy are unpredictable
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
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.