Improving postpartum hemorrhage
risk prediction one mother at a time
>14 Million Women
experience postpartum hemorrhage (PPH) globally every year
We improve risk prediction up to 10x beyond the current standard of care
Vasowatch conducted an observational study on a diverse population of 525 women in Labor and Delivery at a large urban Pennsylvania Hospital. We compared the hospital's expert-based survey risk assessment administered at admission to that of the Vasowatch algorithm. Here are the results:
A PPG or ECG sensor is attached to the mother's wrist, chest or finger upon hospital admission. The sensor continuously captures her heart rate's P to P signal interval timing variability.
Proprietary Vasowatch Algorithm
The maternal physiological data is uploaded to a proprietary machine learning algorithm for pre-processing and analysis.
Timely Risk Alerts
The mother's postpartum hemorrhage risk status is updated continuously, so that the clinical care team is alerted to heightened risk.
Easy-to-use Clinician Dashboards
Easy-to-read dashboards are provided at the patient's bedside and the charge nurse's station for risk alert display and acknowledgement by the clinical care team.