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MED 264: Principles of Biomedical Informatics

Instructor:  Tsung-Ting Kuo, PhD

Teaching Assistants: Adam Officer and Jennifer Phuong Nguyen

When and Where for the 2020 Fall Course:  12:00 noon - 2:00 p.m. on Tuesdays and 1:30 - 3:30 p.m. on Thursdays (October 1 - December 10, 2020).  Classes will be offered fully remote. 

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 2020Syllabus 

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


Chris LonghurstInformatics Innovations at the Bedside and Beyond: Mobile Health, Applications linked to EHR systems 
Teams Formed for Final Project---
10/15Robert El-KarehThe Big Picture of Informatics Implemented in Medical Centers and Introduction to EPIC
10/20Shamim NematiPredictive Analytics in the ICU
10/22Amy SitapatiPopulation Health Informatics


Jejo Koola
Evaluating Predictive Analytics for Clinical Decision Support
Project Proposal Due--- One submission per group
---BLOCK 2 - Clinical Research Informatics---
10/29Michael HogarthNot All Data are Structured: Clinical Natural Language Processing and Standards


Michael Hogarth and Reid OtsujiRelational Models and Data Systems / Introduction to SQL
Graded Proposals Returned---
11/05Michael WalkerExperimental Design for Biomedical Informatics Research
11/10Luca BonomiPrivacy Technology Methods and Applications
11/12Tsung-Ting KuoBiomedical, Healthcare and Genomic Blockchain Applications
11/17Siddharth Singh and Mary Linn BergstromEvidence-Based Decision Making / Systematic Reviews
11/19Kai ZhengHuman Factors: Workflow Optimization and Human-Computer Interaction 
11/24Rodney GabrielAnesthesia Informatics
---BLOCK 3 - Bioinformatics---
12/01Olivier HarismendyComputational Genomics for Cancer Research
12/03 Jennifer NguyenHands-on R for Bioinformatics Analyses
12/08Hannah CarterSystems Biology for Biomedical Discovery


Kathleen Curtius
Cancer Genomics and Evolution

Project Report Due
--- One submission per group
12/15Final 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)