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Strengthen the Evidence for Maternal and Child Health Programs

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Search Results: MCHLine

Items in this list may be obtained from the sources cited. Contact information reflects the most current data about the source that has been provided to the MCH Digital Library.

Displaying records 1 through 1 (1 total).

Nurtur Care. 2025. Nurtur . ,

Annotation: This website describes nurtur, a digital health platform that uses artificial intelligence to predict and prevent postpartum depression in mothers. The platform works with Ob/Gyns to identify at-risk patients early in pregnancy and provides personalized self-guided therapy and ongoing support throughout the pregnancy journey. Using a three-phase approach across trimesters—discovery, prevention, and engagement—nurtur offers tools that have been proven to prevent over 50% of postpartum depression cases. The platform features a collaborative care model that integrates primary care providers, behavioral care managers, and psychiatric consultants, while being reimbursable through health insurance. In beta testing as of April 2025.

Contact: Nurtur Care, E-mail: [email protected] Web Site: https://nurturcare.com

Keywords: Artificial intelligence, Mobile Apps, Obstetrics, Patient education, Postpartum care, Postpartum depression, Prevention, Resources for professionals, Screening, Service integration, Telemedicine
   

The MCH Digital Library is one of six special collections at Geogetown University, the nation's oldest Jesuit institution of higher education. It is supported in part by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) under award number U02MC31613, MCH Advanced Education Policy with an award of $700,000/year. The library is also supported through foundation and univerity funding. This information or content and conclusions are those of the author and should not be construed as the official position or policy of, nor should any endorsements be inferred by HRSA, HHS or the U.S. Government.