Predicting severe health issues during and after pregnancy using various health data

Using Multimodal Clinical and SDOH Data to Develop Risk Models for Predicting Severe Maternal Morbidity

NIH-funded research Weill Medical Coll of Cornell Univ · NIH-11073412

This study is looking to create tools that can help predict which pregnant women might face serious health issues, by looking at both their medical history and social factors, so that doctors can provide better care and support during pregnancy and after childbirth.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionWeill Medical Coll of Cornell Univ NIH-funded
Lab location1 site (New York, United States)
Project IDNIH-11073412 on NIH RePORTER

What this research studies

This research aims to develop risk models that can predict severe maternal morbidity (SMM) by analyzing detailed clinical data alongside social determinants of health (SDOH). It focuses on understanding the complex interplay of physical, mental, and social factors that contribute to adverse outcomes during pregnancy and postpartum. By identifying women at higher risk for complications, the research seeks to improve prenatal care and management of chronic conditions. The study will utilize comprehensive data collection methods to ensure accurate predictions and better health outcomes.

Who could benefit from this research

Good fit: Ideal candidates for this research include pregnant women, particularly those from non-Hispanic Black communities who are at higher risk for severe maternal morbidity.

Not a fit: Patients who are not pregnant or those who do not have any risk factors for severe maternal morbidity may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to improved prenatal care and reduced rates of severe complications for pregnant women.

How similar studies have performed: Previous research has shown promise in using integrated clinical and social data to improve health outcomes, indicating that this approach could be effective.

Where this research is happening

New York, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.