How do you solve a problem? Health Informatics and Data Science faculty develop problem-specific solutions that have clinical applications and implications for improving patient care and systems-level change.

From AI, predictive modeling and real world data (structured and unstructured) to computational resources - faculty and students have the tools they need to conduct research to solve problems to improve patient outcomes. 

Computing and Storage Infrastructure Capabilities

Our extensive portfolio of high-performance computing and storage infrastructure for researchers includes:

  • High-Performance Computing Cluster: this Linux-based ROCKS cluster features 65 Dell server compute nodes with 528 Intel processing cores and 1PB of storage 
  • High-Performance Molecular Visualization Cluster: this Linux-based ROCKS cluster features nine server compute nodes with 560 AMD Opteron processing cores and 40TBs of file system storage 
  • High-Performance GPU Server:this Linux-based GPU server features 2x PNY Quadro RTX 8000 GPUs with 48GB of RAM each, 512GBs of random-access memory, and 40 processing cores
  • Online Surveys and Databases (REDCap)
  • Research File Server: this Windows-based file/print server features 15TB of storage for use of storing research data associated with IRB projects.

Why Health Informatics at Loyola

Our faculty apply their expertise in these areas along with their varied backgrounds in industrial systems engineering, physics, nursing, and mathematics. This diversity encourages our faculty to collaborate with students, postdocs, other faculty, and other Parkinson School departments. 

A Parkinson degree in health informatics will give students the capability to understand how to use data and problem solve work with clinicians. With health informatics experience ranging from classical outcome research to high frequency signal, text, and medical image analysis, our faculty are in-house problem-solvers for our academic medical center partner and other healthcare providers.

Department Spotlight

Learn more about how the Parkinson's Health Informatics students and faculty are improving patient care and healthcare outcomes in Chicago and beyond.

New Research
Faculty Spotlight

New Research

Associate Professor Oguz Akbilgic publishes a study of cardiovascular disease risk prediction models in patients with non-dialysis kidney disease.

Q&A with Oguz Akbilgic
Faculty Spotlight

Q&A with Oguz Akbilgic

Getting to know Akbilgic's research and how he's using AI to detect Parkinson’s Disease.


Get to Know Us

Learn more about the faculty of Parkinson's Health Informatics Department.

If you are interested in learning more about Health Informatics programs or degrees please request more information or contact Kathy Bobay.

If you are interested in collaborating with Loyola University's Health Informatics department, please reach out to Kathy Bobay.