Predicting severe health issues during and after pregnancy using various health data
Official title: Using Multimodal Clinical and SDOH Data to Develop Risk Models for Predicting Severe Maternal Morbidity
Funded at Weill Medical Coll of Cornell Univ · NIH-11073412 · Data updated 2026-11-12
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 type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Weill Medical Coll of Cornell Univ NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | March 10, 2025 |
| Project end | February 28, 2030 |
| Funding year | 2025 |
| Award (this year) | $684,290 |
| NIH project number | 1R01HD116103-01A1 |
| Project ID | NIH-11073412 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include pregnant women, particularly those from non-Hispanic Black communities who are at higher risk for severe maternal morbidity.
✕Less likely to help
Patients who are not pregnant or those who do not have any risk factors for severe maternal morbidity may not benefit from this research.
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.
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 gone: 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
-
Weill Medical Coll of Cornell Univ
New York, United States Active
Researchers
- Principal investigator: Pathak, Jyotishman — Weill Medical Coll of Cornell Univ
- Study coordinator: Pathak, Jyotishman
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.