Project	Description	Manager	E-mail
AMMI	The Analytics & Machine-Learning for Maternal Health Interventions is a project that aims to tackle the elevated risk of maternal mortality in African American women in the United States by building machine learning applications using data from the social determinants of health and clinical factors.	Annie Racheal Rajkumar	annrac@email.unc.edu
Cancer & Health Informatics Research	Cancer & Health Informatics Research	Sai	sai@unc.edu
HDX	Health Data Exchange (HDX) is a project with a focus to develop a database system with all the health interoperability standards along with case studies for understanding the processes and requirements behind the implementation and acceptance of a Health standards globally.	Kibria	kibria@email.unc.edu
iPICS	The Interactive Prostate Cancer Information, Communication, and Support program (iPICS) is to improve shared decision-making and quality of life (QOL) for patients with newly diagnosed low to intermediate-risk localized prostate cancer. The study is being funded by the US Department of Defense.	Karl Shieh	kshieh12@email.unc.edu
MIDAS	Machine Interpretable Document Analytics Services	Vibhor Gupta	gvibhor@email.unc.edu
OLLIE	Online Library for Learning, Implementation, and Education (OLLIE) is a collaboration between Carolina Health Informatics Program and the Department of Maternal & Child Health at UNC Gillings School of Global Public Health.	Kibria	kibria@email.unc.edu
Methods in Medical Informatics	The Methods in Medical Informatics is a project aimed to gather and analyze Biomedical use cases in healthcare using Python. We will be refining the scripts in the current Methods in Medical Informatics textbook and adding new use cases.		ashv@unc.edu
TDE	The project is to build an evidence base for using machine learning technology to improve maternal and infant health outcomes. The project focuses on digitization of a previously created paper-based patient questionnaire and integrating it with the EHR system and workflow.	Alex	agb@live.unc.edu