Maven Enhances Maternity Program with AI for Better Care

This title was summarized by AI from the post below.

For more than a decade, Maven has supported families through every kind of pregnancy — from healthy, routine experiences to more complex, high-risk cases — improving outcomes for families and reducing costs for the employers who support them. Today, we’re taking that impact even further. Our enhanced maternity program builds on what we know works, using the largest validated dataset in digital maternity care to help make care even more predictive, precise, and personalized. With new AI-enabled population health capabilities, Maven helps identify pregnancy risks earlier, prevent and manage complications like preeclampsia and gestational diabetes, and get babies home from the NICU faster. Better care can’t wait. Today, an estimated 15% of pregnancies are considered high-risk, often leading to complications and NICU stays that take a toll on families and represent one of employers’ biggest healthcare costs. Every family deserves to feel safe and supported through pregnancy. These advancements bring us one step closer to making that a reality. Learn more: https://lnkd.in/eucympS3

  • No alternative text description for this image
Nicole Ridolfi RN, BSN, RNC-OB, CCM

Maternal Health Expert | Health Equity & Literacy Advocate | Dynamic Nurse Leader | Building the Future of Whole Person and Evidence Based Care | MBA Candidate

1w

As someone with a background in high-risk obstetrics, I’ve seen firsthand how early intervention and coordinated support can change the trajectory of a pregnancy—and a family’s future. I’m especially energized by solutions that drive down costs while improving outcomes, because that’s where real equity begins. Maven’s use of AI-enabled population health tools and validated digital data feels like a powerful step toward closing gaps in care. I’d love to hear more about how your platform supports culturally responsive care and addresses disparities in high-risk populations. Excellent work!

To view or add a comment, sign in

Explore content categories