top of page

Improving postpartum hemorrhage
risk prediction one mother at a time

Funded by

LMLF 1.png
PennNursing_Horizontal_UPenn_Logo_FullColor_RGB 1.png
mHUB Product Impact Fund 1.png

>14 Million Women

experience postpartum hemorrhage (PPH) globally every year

Recognized by leading organizations in the field

AWHONN-Logo 1.png
techrisepoweredbyp33black_2_12x 1.png

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:



Our Features


Non-invasive 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.

Rectangle 53.png

Timely Risk Alerts

The mother's postpartum hemorrhage risk status is updated continuously, so that the clinical care team is alerted to heightened risk.

iPad Mini 1.png

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.


Join our mission to enhance the 
birth experience and outcomes for all mothers.

Thanks for submitting!

bottom of page