Introduction: The United States continues to face a maternal health crisis characterized by racial, ethnic, and socioeconomic inequities. Many current interventions lack comprehensive integration of technology, community engagement, and payer partnerships needed to address both clinical and structural drivers. Approach: This article describes InovCares, a digital maternal health intervention developed to be implemented in under-resourced clinical settings. Adapted from Kaiser Permanente’s Cocoon Pregnancy Care Model, InovCares integrates mobile-first technology, artificial intelligence-assisted assessments, culturally responsive care, and wraparound social services. A 12-month pilot was carried out in two federally qualified health centers in Texas, enrolling 605 pregnant people through partnerships with a payer and local community organizations. Lessons Learned: Strong patient and provider engagement came from codesign, bilingual tools, and the integration of artificial intelligence to flag risks and coordinate referrals, although training and digital literacy support were critical. Also, payer and institutional partnerships made it possible to connect technology with reimbursement and workflow systems but required time and flexibility. Finally, artificial intelligence and digital tools can promote equity if developed intentionally, but they also expose gaps in infrastructure and resources. Conclusion: InovCares offers a promising model that blends technology, clinical care, and social support in under-resourced settings. Its early lessons show that equity-informed design and cross-sector collaboration are essential for building sustainable, digital maternal health solutions.
Kamara et al. (2026) studied this question.