Jill Inderstrodt, PhD, MPH

Contact : ji3@iu.edu

All pregnant people deserve the pregnancy, birth, and infancy they want for themselves and their babies.

Initiatives

Research Scientist, Clem McDonald Center for Biomedical Informatics, Regenstrief Institute
Assistant Professor, Health Policy and Management, Richard M. Fairbanks School of Public Health
Affiliated Scientist, Military Family Research Institute at Purdue University

Dr. Jill Inderstrodt’s research focuses on advancing the understanding of antecedents and outcomes related to maternal and child health (MCH) by employing innovative informatics processes and technologies. Her research interests include maternal morbidity and mortality, breastfeeding, health communication, public health informatics, and infant outcomes related to adverse pregnancy events. Her work is funded by the U.S. Centers for Disease Control and Prevention (CDC), National Institutes of Health (NIH), and Department of Veterans Affairs (VA).

Dr. Inderstrodt received her PhD in Health Communication and MPH from Purdue University. Before joining CBMI, she completed a medical informatics fellowship with the VA’s Center for Health Information and Communication. She is a research fellow with the NIH’s Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD), a competitive fellowship aimed at increasing diversity in AI and ML research. She is also a Public Voices Fellow with the OpEd Project in partnership with AcademyHealth. Her writing as a Public Voices Fellow can be seen in The Boston Globe, The Indianapolis Star, Slate, Education Week, and various other outlets.

Featured Projects

Advancing Surveillance of Congenital Heart Defects: Using Unparalleled Informatics and Data Science to Improve the Health of Children, Adolescents, and Adults

Centers for Disease Control and Prevention (CDC)

(2024-2029)

Role: Principal Investigator

This project will link clinical, administrative and public health data for surveillance of congenital heart defects (CHD) to do the following:

identify CHD cases among Indiana children, adolescents and adults
integrate clinical and administrative data on individuals with CHD
utilize integrated data to measure outcomes for CHD
work with policy partners to inform policymakers and make recommendations so individuals with CHD can experience long-term health and continuity of care.

Linking Data Across Clinical and Public Health Systems to Enhance Maternal and Child Health Surveillance in Indiana

Centers for Disease Control and Prevention (CDC)

(2023-2026)

Role: Co-Investigator

Build a registry of pregnant people-infant dyads and link discrete public health data sources for surveillance of stillbirth, neonatal abstinence syndrome and congenital syphilis.

Late-term Preeclampsia in Birthing People Without Early Pregnancy Biomarkers

Protocol for a Prediction Model for
National Institutes of Health Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (NIH AIM-AHEAD)

(2023-2024)

Role: Principal Investigator

Develop a machine learning model to predict preeclampsia in pregnant people who present late for prenatal care