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Health Informatics & Data Science

Improving Patient Outcomes with Data-Driven Solutions

How do you solve a problem? In the Health Informatics and Data Science department at Parkinson, we 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, our faculty and students have the tools they need to conduct research to solve problems to improve patient outcomes. 

“Artificial intelligence has an emerging role in decision making in different aspects of human life and I believe it is fascinating that we can learn to utilize it in saving lives and improving patient care.”
“Artificial intelligence has an emerging role in decision making in different aspects of human life and I believe it is fascinating that we can learn to utilize it in saving lives and improving patient care.”

Computing & Storage Capabilities

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

Centers & Events

Center for Health Outcomes and Informatics Research

The Center for Health Outcomes and Informatics Research seeks to educate and lead an innovative research program focused on leveraging our informatics infrastructure and large heterogeneous data sets across the Loyola University Health System, Trinity Health and other facilities within the community. 

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Center for Health Innovation and Entrepreneurship

The newly established Center for Health Innovation and Entrepreneurship is a central hub for scholars, community partners, thought leaders, entrepreneurs, and students to engage in purpose-driven research with the goal of reducing health inequities and improving health care delivery for all.

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Health Informatics Seminar Series

In partnership with the Center for Health Outcomes and Informatics Research, the Health Informatics and Data Science department invites to its monthly seminar series exploring trending topics in the data science and healthcare technology fields. 

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Featured Faculty

A Parkinson degree in health informatics gives you 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. Our faculty apply their expertise in these areas along with their varied backgrounds in industrial systems engineering, physics, nursing, and mathematics. 

Assistant Professor Mohammad Samie Tootooni

Health Informatics & Data Science

Mohammad Samie Tootooni

Dr. Tootooni is a researcher, a data scientist, and engineer with interests in machine learning, natural language processing, operations research, and applied statistics.

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Associate Professor Majid Afshar

Health Informatics & Data Science

Majid Afshar

Dr. Afshar performs research using advanced computational methods to build tools to improve and augment clinical decision making at the bedside.

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Professor Kathleen Bobay

Health Informatics & Data Science

Kathleen Bobay

Dr. Bobay’s research focuses on the value of nursing practice and informatics to solve clinical problems.

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