Skip to main content

MED264: Principles of Biomedical Informatics

Instructor:  Tsung-Ting Kuo, PhD

When:  Fall 2021

Office Hours: by appointment

Course Objectives: The purpose of this class is to provide an engaging and lively introduction to the field of biomedical informatics. Building up from the basic bits of data to modeling complex organisms and organizations, the course will explore the nature of biomedical information and how this information is and can be used in the care of individual patients and populations. We highlight practical and state-of-the-art technologies in biomedical informatics to get students exposed to the current healthcare research environment.

MED264 Sample Syllabus 

10/01 Tsung-Ting Kuo and Lucila Ohno-Machado Introduction to Biomedical Informatics and this Course
--- BLOCK 1 - Clinical Informatics ---
10/06 Adam Officer Hands-on Python as a Tool for Structured Data Processing and Predictive Analytics
10/08 Tsung-Ting Kuo and Sally Baxter Introduction to Machine Learning with Clinical Use Case
Skill Assessment Due ---


Chris Longhurst Informatics Innovations at the Bedside and Beyond: Mobile Health, Applications linked to EHR systems 
Teams Formed for Final Project ---
10/15 Robert El-Kareh The Big Picture of Informatics Implemented in Medical Centers and Introduction to EPIC
10/20 Shamim Nemati Predictive Analytics in the ICU
10/22 Amy Sitapati Population Health Informatics


Jejo Koola Evaluating Predictive Analytics for Clinical Decision Support
Project Proposal Due --- One submission per group
--- BLOCK 2 - Clinical Research Informatics ---
10/29 Michael Hogarth Not All Data are Structured: Clinical Natural Language Processing and Standards


Michael Hogarth and Reid Otsuji Relational Models and Data Systems / Introduction to SQL
Graded Proposals Returned ---
11/05 Michael Walker Experimental Design for Biomedical Informatics Research
11/10 Luca Bonomi Privacy Technology Methods and Applications
11/12 Tsung-Ting Kuo Biomedical, Healthcare and Genomic Blockchain Applications
11/17 Siddharth Singh and Mary Linn Bergstrom Evidence-Based Decision Making / Systematic Reviews
11/19 Kai Zheng Human Factors: Workflow Optimization and Human-Computer Interaction 
11/24 Rodney Gabriel Anesthesia Informatics
11/26 Thanksgiving ---
--- BLOCK 3 - Bioinformatics ---
12/01 Olivier Harismendy Computational Genomics for Cancer Research
12/03  Jennifer Nguyen Hands-on R for Bioinformatics Analyses
12/08 Hannah Carter Systems Biology for Biomedical Discovery


Kathleen Curtius Cancer Genomics and Evolution
Project Report Due --- One submission per group
12/15 Final Presentations from Student Teams ---


Course grades will be based on:

  1. Proposal (15%)
  2. Homework (25%)
  3. Project participation (20%)
  4. Final project report (40%)
  5. Bonus credit for course participation and submitting evaluation forms (10%, 0.5% per lecture)