Automated Maternal Early Warning Systems:
Providing equitable care at the bedside

Maternal morbidity and mortality rates are at an all-time high in the United States. According to the Centers for Disease Control and Prevention (2019) 60% of pregnancy-related poor outcomes are preventable. Although root cause analysis data reveals several influencing factors, variation in clinical practice is recognized as a modifiable variable. Standardizing patient assessments utilizing advanced technology provides objective, quantifiable data that can lead to improved patient outcomes. Automated early warning systems powered by artificial intelligence is just one example of a clinical decision support tool that provides a consistent objective patient assessment. By utilizing science to reduce the impact of potential human fallibility, patient assessment can go beyond the traditional care model by reducing variance and subjectivity, providing the conduit to improved patient safety.

Please join PeriGen’s Chief Nursing Officer Dr. Alana McGolrick, DNP, RNC-OB, C-EFM and Clinical Engagement Specialist Karen Kolega, MSN-CNL, RNC-OB, C-EFM in an educational webinar on Automated Maternal Early Warning Systems: Providing equitable care at the bedside.

Register for the webinar

Live webinar on October 20th 1:00PM EST.
If you can not make this time, sign up and the webinar recording will be shared following the live presentation.

Resources will be available for download following the webinar

Resources coming soon

In a recent webinar, PeriGen discussed the innovative approach health systems could take for maternal patient safety during COVID-19 and beyond, including the use of perinatal telemonitoring for both staff and maternal patient safety. As referenced in the webinar, there is a plethora of telehealth resources that can help you get started with telehealth in obstetrics.

Please complete the form to access the telehealth resources referenced in the PerIGen webinar, Maternal Patient Safety: COVID-19 and Beyond.