Loyola University > Parkinson School of Health Sciences and Public Health > Academics > Areas of Study > Health Informatics
How do you solve a problem? Health Informatics 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.
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.
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.
|Health Informatics and Data Science Faculty|
|Interim Department Chair, Kathy Bobay|
|MS, Health Informatics Interim Program Director, Kathy Bobay|
|MS, Implementation Science Program Director, Fran Weaver|