Friedman Lab

Columbia University Health Sciences

OBSTETRICS & GYNECOLOGY

New York · United States

NIH-funded
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NIH R01 · 2025

Modeling informatics data to track maternal risk and care quality

ABSTRACT While maternal severe morbidity and mortality increased significantly over recent decades, it is unclear to what degree recommended safety practices for high-risk clinical scenarios are followed and reduce risk for adverse maternal outcomes. A key strategy to reducing maternal risk has been implementation of `safety bundles' and uniform protocols to standardize care for high-risk clinical conditions. While the standardized clinical measures supported in these bundles are evidence based, there are major knowledge gaps related to implementation, care quality surveillance, and outcomes assessment for safety protocols for postpartum hemorrhage, hypertensive diseases of pregnancy,…

From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.

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