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
| DATE | SPEAKER | SESSION TITLE |
| 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 | --- |
10/13 | 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 |
10/27 | 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 |
11/03 | 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 |
12/10 | 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:
- Proposal (15%)
- Homework (25%)
- Project participation (20%)
- Final project report (40%)
- Bonus credit for course participation and submitting evaluation forms (10%, 0.5% per lecture)