Data science in laboratory medicine certificate program - COMING SOON

LAUNCHING FALL 2025!

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Every year, laboratorians produce billions of test results-valuable data that can unlock smarter workflows, more efficient lab operations, and better patient outcomes.

This new certificate program provides essential data science training tailored for laboratory professionals, with a focus on solving real-world challenges in lab medicine. It's designed to set you apart in a field that is increasingly driven by data and analytics.

Stay ahead of the curve. Transform data into insight.

Target audience

Target audiences include physicians, laboratory supervisors, laboratory directors, laboratory assistant directors, laboratory managers, laboratory technologists, point-of-care coordinators, pathologists, toxicologists, fellows, and trainees.

What you'll learn

• Fundamentals of how healthcare data is generated and used.
• Core principles of data analysis, including validation, visualization, & statistics.
• Foundational concepts for artificial intelligence for the lab.

Program outline

1. Laboratory data analytics
2. Best practices for laboratory data validity
3. Data analysis planning and data requests
4. Mitigating laboratory data problems
5. Laboratory data visualization
6. Statistics for laboratory medicine
7. Fundamentals of machine learning applications
8. Evaluating machine learning-based applications
9. Best practices for healthcare data security

Faculty

• Patrick Mathias, MD, PhD, UW Medicine Pathology  Content Lead
• Robert Benirschke, PhD, MS, DABCC, FADLM, Northshore University Health System
• Shannon Haymond, PhD, MSPA, Lurie Children's Hospital of Chicago
• Anthony Killeen, MD, MSc, PhD, University of Minnesota
• Christopher McCudden, PhD, DABCC, FCACB, The Ottawa Hospital
• Michelle Stoffel, MD, PhD, University of Minnesota

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