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Prediction of Risk Of Postpartum Hypertension using Electronic Health Record and Trajectory Data: The PROPHET Algorithm

Award Number: K23HD119348
ORGANIZATION: NATIONAL INSTITUTE OF CHILD HEALTH AND HUMAN DEVELOPMENT
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: TRAINING/TRAINEESHIP
PERIOD OF PERFORMANCE START DATE: 09/01/2026
PERIOD OF PERFORMANCE END DATE: 08/31/2031

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Prediction of Risk Of Postpartum Hypertension using Electronic Health Record and Trajectory Data: The PROPHET Algorithm - PROJECT SUMMARY/ABSTRACT The purpose of this proposal for a Mentored Patient-Oriented Research Career Development Award (K23) is to provide Dr. Timothy Wen with critical support to transition into an independent physician-scientist focused on improving maternal health outcomes, particularly postpartum hypertension, a major public health challenge with significant associations with maternal morbidity and mortality. As an MD/MPH-trained maternal-fetal medicine specialist and clinical informaticist at UC San Diego, Dr. Wen has established a solid foundation in epidemiology, clinical research, and clinical informatics, and now seeks to enhance his skills through targeted training in advanced analytic techniques, such as longitudinal data analysis and artificial intelligence/machine learning, implementation science, and clinical trial design. This K23 proposal will offer structured training and mentorship to develop expertise in those areas and apply them in developing innovative risk prediction models that leverage longitudinal electronic health record (EHR) data for identifying patients at risk for postpartum hypertension and associated complications. Dr. Wen proposes three specific aims that are intricately linked to his career development plan. First, he will investigate associations between longitudinal pregnancy and delivery hospitalization variables and postpartum hypertension and associated adverse outcomes, utilizing a comprehensive dataset to explore critical risk factors. This investigation will benefit from advanced training in epidemiologic methods and causal inference, allowing Dr. Wen to address confounders and biases often found in longitudinal data analysis. Second, he will develop and validate a predictive model for postpartum hypertension, named the PROPHET algorithm (Prediction for Risk Of Postpartum Hypertension using EHR and Trajectory data), employing advanced AI/ML methodologies to optimize predictive accuracy. Third, Dr. Wen will conduct a prospective real-time silent evaluation of the PROPHET algorithm and initiate a pilot study to incorporate postpartum remote blood pressure monitoring to refine the model and enhance clinical utility. By leveraging the resources and mentorship available at UC San Diego, Dr. Wen aims to generate valuable insights into postpartum hypertension risk prediction that can inform clinical practices and ultimately reduce maternal morbidity. The findings from this research not only hold promise for advancing the field of obstetrics but also position Dr. Wen for a future R01 proposal assessing the clinical efficacy of PROPHET in comparison to traditional standard of care and for future independent funding involving improving maternal health through data-driven innovations.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2027 ( Subtotal = $0 )
2027	2026	UNIVERSITY OF CALIFORNIA, SAN DIEGO	9500 GILMAN DR	LA JOLLA	CA	92093	SAN DIEGO	USA	Child Health and Human Development Extramural Research	000	1	10/14/2026	NEW	$0
														Subtotal = $0

Issue Date FY: 2026 ( Subtotal = $171,050 )
2026	2026	UNIVERSITY OF CALIFORNIA, SAN DIEGO	9500 GILMAN DR	LA JOLLA	CA	92093	SAN DIEGO	USA	Child Health and Human Development Extramural Research	000	1	8/25/2026	NEW	$171,050
														Subtotal = $171,050

Grand Total All Awards = $171,050

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Prediction of Risk Of Postpartum Hypertension using Electronic Health Record and Trajectory Data: The PROPHET Algorithm

Award Number: K23HD119348

ORGANIZATION: NATIONAL INSTITUTE OF CHILD HEALTH AND HUMAN DEVELOPMENT

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: TRAINING/TRAINEESHIP

PERIOD OF PERFORMANCE START DATE: 09/01/2026

PERIOD OF PERFORMANCE END DATE: 08/31/2031

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