Funded by
>14 Million Women
experience postpartum hemorrhage (PPH) globally every year
350K in the US
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:
How?
Our Features
Non-invasive Heart Rate Wearable
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 ahead of delivery
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.