The Health Data and Analytics Lab, generously supported by Accenture, funds innovative research projects focused on the lab’s pillars, including communication barriers, health literacy, social determinants of healthcare access, quality in medical care, and the measurement of impact.
These projects are led by interdisciplinary teams of researchers and community partners who collaborate to transform health and well-being in the community with scalability nationally and globally, focusing on vulnerable populations and unresolved common public health problems.
Current projects
Indigenous Cancer Disparities: Multi-Modal Data Integration
Project Leaders: Meenal Datta and Margaret Traeger
Departments: Department of Aerospace and Mechanical Engineering | Department of IT, Analytics, and Operations
Overview: This project focuses on understanding the role of racial disparities and social determinants of health in cancer incidence and outcomes among Indigenous populations. Dr. Datta and Dr. Traeger, along with their team, employ a variety of data science techniques including social network analysis, bioinformatics, and machine learning to investigate this critical issue.
Emergency Room Usage and Hospitalization Study
Project Leader: Margaret Pfeil
Departments: Department of Theology | Center for Social Concerns
Community Partners: Donald Zimmer, MD, Memorial Hospital Emergency Department; Katharine Callaghan, MD, Associate Director of Family Medicine Residency Program at Memorial Hospital; Sheila McCarthy, Director of Motels4Now at Our Lady of the Road.
Overview: In collaboration with community partners, this project evaluates the impact of the emergency low-barrier housing program, Motels4Now, on participant Emergency Room usage and hospitalization rates at Memorial Hospital. The research team aims to shed light on the effectiveness of this program in improving the well-being of its participants.
mHealth SaludConecta system, connecting health personnel and caregivers with cancer
Project Leader: Nitesh Chawla, Angelica Garcia Martinez
Department: Computer Science and Engineering
Collaboration partners: Hospital Infantil de México “Federico Gómez”, 1842 Fund, and Lucy Family Institute for Data and Society.
Community partner: Horacio Marquez, MD, Clinical Research Director at Hospital Infantil de México “Federico Gómez” in Mexico City.
Overview: SaludConecta is an AI-powered system designed to connect healthcare providers with caregivers of children with cancer living in social and economic marginalization in Mexico. Integrating LLMs and OCR addresses the lack of electronic health records and communication barriers, creating a continuous feedback loop to improve access, care quality, and early response. Through treatment trajectories, it maps Social Determinants of Health (SDoH), guiding decision-makers in addressing infrastructure and workforce gaps. This reduces complications in children and improves caregiver well-being. The system is scalable and adaptable to similar low-resource settings.
Bridging Health Disparities in Breast Cancer Care for Latinas in Indiana: Integrating Clinical Education, AI Innovation and Sociocultural Solutions
Project Leader: Angélica García-Martínez/Cheng Liu
Department: Lucy Family Institute for Data and Society
Community Partner: Dara Marquez, Operatie Director of La Casa de Amistad, University of Oviedo, Spain.
Overview: Using the SaludConecta mobile app, we are designing an educational intervention to inform Latina women affiliated with La Casa de Amistad in the counties where it operates in Indiana about breast cancer risk factors. The intervention includes guidance on breast self-examination and encourages participation in mammography screenings promoted by La Casa de Amistad to support early diagnosis and treatment. By engaging community leaders, the initiative aims to improve healthcare-seeking behavior and enhance access to timely care.
Bridging the Data Gap Between Parental Adversity and Infant Health Outcomes
Project Leader: Theodore Beauchaine
Department: Department of Psychology
Community Partners: Mark Fox, MD, Associate Dean of the Indiana School of Medicine South Bend and Deputy Health Officer at the St. Joseph County Department of Health; Kimberly Green Reeves, Executive Director of Community Impact at Beacon Health System; Cassy White, Lead Project Specialist at Beacon Community Impact.
Overview: Working closely with community partners, this project seeks to address health-related social needs and risks for pregnant individuals, infants, and families in St. Joseph County. The team is focused on integrating data from various local healthcare providers and building predictive models to identify parental social determinants of health.
Housing – Health Equity Nexus: Better Housing as Health Risk Mediator (HOUSE4HEALTH)
Project Leaders: Ming Hu and Chaoli Wang
Departments: School of Architecture | Department of Computer Science and Engineering
Community Partners: Collaborating with local South Bend community organizations.
Overview: This project collaborates with South Bend community organizations to develop a machine learning-aided model to assess built environment indicators related to climate change-accelerated health risks, with a specific focus on housing conditions. The research aims to contribute to a healthier living environment.
Responsible use of Artificial Intelligence (AI) and Empowering the Workforce of the Future I
Project Leaders: Prof. Nuno Moniz and Deng Pan
Departments: Lucy Family Institute
Overview: This project explores the relationship between forecasting and model interpretability in healthcare AI applications. Its main objective is to address the challenges of health data equity by improving the interpretability of deep learning models. This work will contribute to a better understanding of the existing issues and provide solutions to overcome them, thus promoting innovation in the field. More broadly, the project will expand the use of state-of-the-art AI tools, which often lack interpretability and are challenging to use in real-world scenarios.
Responsible use of Artificial Intelligence (AI) and Empowering the Workforce of the Future II
Project Leaders: Prof. Yiyu Shi, Prof. Yanfang (Fanny) Ye and Dr. Georgina Curto Rex
Departments: Computer Science and Engineering | Notre Dame Technology Ethics Center | Lucy Family Institute
Community Partners: Prof. Jing Su, School of Medicine, and Prof. Joshua Wells, Sociology and Anthropology, Indiana University South Bend
Overview: This project is a collaboration between the University of Notre Dame and the Indiana University School of Medicine teams to develop a series of AI-based applications for diagnosing skin diseases more accurately. The application’s framework will emphasize privacy and diversity in data to increase accuracy and promote inclusivity in healthcare. The goal is to create smartphone apps that can be used on different devices and evaluated using public datasets and local patient data.
From Data to Action: Reducing mortality from illicit drugs in South Bend, Indiana
Project Leaders: Prof. Marya Lieberman, Department of Chemistry & Biochemistry
Departments: Chemistry & Biochemistry
Community Partners: Joanne Kelley Cogdell and Adam Scholz, Naxos Neighbors
Overview: Led by Professor Lieberman in collaboration with Naxos Neighbors, this team aims to create a safe space for drug testing and information sharing. Dr. Lieberman’s lab has developed a novel tool that collects drug information through used test strips, enabling private drug testing and analysis of over 70 potential contaminants. The project aims to collect real-time data on street drugs and share results anonymously via an app. The ultimate goal is to reduce overdose deaths and improve community safety in South Bend and potentially in other areas.