MED 264: Principles of Biomedical Informatics

Instructors:  Tsung-Ting Kuo, PhD, and  Lucila Ohno-Machado, MD, PhD

Teaching Assistants: Anh Pham

When and Where for the 2019 Fall Class:  12:00 noon - 2:00 p.m. Tuesdays and Thursdays.  Tuesday classes will be held in  MET-MedEd 223, and Thursdays classes will be held in BRF2-1104.

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.

Course Syllabus Fall, 2019. 

DATESPEAKERSESSION TITLE
09/26Lucila Ohno-Machado and Tsung-Ting KuoIntroduction to Biomedical Informatics and this Course
---BLOCK 1 - Clinical Informatics---
10/01Tsung-Ting Kuo and Sally BaxterIntroduction to Machine Learning with Clinical Use Case
10/03Shamim NematiPredictive Analytics in the ICU
10/08Lucila Ohno-MachadoEvaluating Predictive Analytics for Clinical Decision Support
10/08Teams Formed for Final Project---
10/10Amy SitapatiClinical Informatics and Population Health
10/15Rodney GabrielAnesthesia Informatics
10/17Robert El-KarehThe Big Picture of Informatics Implemented in Medical Centers and Introduction to EPIC
10/22Chris LonghurstInformatics Innovations at the Bedside and Beyond: Mobile Health, Applications linked to EHR systems 
10/22Project Proposal Due---
---BLOCK 2 - Clinical Research Informatics---
10/24Anh PhamHands-on Python as a Tool for Structured Data Processing and Predictive Analytics
10/29Michael WalkerExperimental Design for Biomedical Informatics Research
10/29Graded Proposals Returned---
10/31Michael HogarthNot All Data are Structured: Clinical Natural Language Processing and Standards
11/05Reid Otsuji and Michael HogarthDatabases and SQL
11/07Luca BonomiPrivacy Technology Methods and Applications
11/12Tsung-Ting KuoBiomedical, Healthcare and Genomic Blockchain Applications
11/14Kai ZhengHuman Factors: Workflow Optimization and Human-Computer Interaction 
11/19Mary Linn Bergstrom and  Siddharth SinghEvidence-Based Decision Making / Systematic Reviews
---BLOCK 3 - Bioinformatics---
11/21Olivier HarismendyComputational Genomics for Cancer Research
11/26Hannah CarterSystems Biology for Biomedical Discovery
11/28Thanksgiving---
12/03Jihoon KimBioinformatics Applications to Kawasaki Disease
12/05Kelly FrazerGenetics and genomics Informatics
12/05Project Report Due---
12/10Final Presentations from Student Teams---


Grading Policies for Fall, 2019.

Course grades will be based on:

  1. proposal (15%)
  2. homework (20%)
  3. project participation (25%)
  4. final project report (40%)