The traditional way
Hypertensive disorders of pregnancy are unpredictable
The Thanzius Way
Ongoing, passive risk assessment to predict when blood pressure will spike to enable safe, timed births.
The current population-based risk assessment guidelines miss latent-risk patients
Personalized risk based on analytics of patient data collected in routine prenatal care.
The existing model of preeclampsia care is expensive
Decrease preeclampsia-related hospitalization through improved risk assessment.
Our solution:
Machine learning enabled preeclampsia prediction software integrated with electronic health records
Clinical Impact:
Personalized preeclampsia prediction using machine learning-enabled risk assessment software
Societal Impact:
Safer pregnancy for all pregnant people using machine learning-enabled risk assessment software