MED264: Principles of Biomedical Informatics

Teaching Assistants: Jihoon Kim (j5kim@ucsd.edu) and Jonathan Lam (j7lam@ucsd.edu)

When: Fall 2021 -- Courses will be offered fully remote on Mondays from 3:30 to 5:30 pm and Thursdays from 1:30 to 3:30 pm.

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 Syllabus
DATE	SPEAKER	SESSION TITLE
09/23	Tsung-Ting Kuo and Lucila Ohno-Machado	Introduction to Biomedical Informatics, Decision Making, and this Course
---	BLOCK 1 - Clinical Informatics	---
09/27	Tsung-Ting Kuo	Introduction to Machine Learning in Biomedical Informatics
09/30	Jonathan Lam	A Practical Introduction to Machine Learning with Python
09/30	Skill Assessment Due	---
10/04	Alexander Wenzel	Basic Experimental Design and Basic Statistics with R
10/04	Teams Formed for Final Project	---
10/07	Jejo Koola	Evaluating Predictive Analytics for Clinical Decision Support
10/11	Robert El-Kareh	The Big Picture of Informatics Implemented in Medical Centers and Introduction to EPIC
10/14	Sally Baxter	Introduction to Ophthalmology informatics and All-of-Us
10/18	Chris Longhurst	Informatics Innovations at the Bedside and Beyond: Mobile Health, Applications linked to EHR systems
10/21	Amy Sitapati	Population Health Informatics
10/21	Project Proposal Due	---
10/25	Jihoon Kim	Advanced Statistics/Biomedical Informatics with R
10/28	Shamim Nemati	Deep Learning and Predictive Analytics in the ICU
10/28	Graded Proposals Returned	---
11/01	Rodney Gabriel	Anesthesia Informatics
---	BLOCK 2 - Clinical Research Informatics	---
11/04	Michael Hogarth	Not All Data are Structured: Clinical Natural Language Processing and Standards
11/08	Nigha Nyugen and Mary Linn Bergstrom	Evidence-Based Decision Making / Systematic Reviews
11/11	Veterans’ Day	NO CLASS
11/15	Tsung-Ting Kuo	Biomedical, Healthcare and Genomic Blockchain Applications
11/18	Michael Hogarth and Reid Otsuji	Relational Models and Data Systems / Introduction to SQL
11/22	Kai Zheng	Human Factors: Workflow Optimization and Human-Computer Interaction
11/25	Thanksgiving	NO CLASS
---	BLOCK 3 - Bioinformatics	---
11/29	Hannah Carter	Systems Biology for Biomedical Discovery
12/02	Kathleen Curtius	Cancer Genomics and Evolution
	Project Report Due	---
12/06	Final Presentations from Student Teams	---

Course grades will be based on:

Proposal (20%)
Homework (30%)
Final project participation and report (50%)
Bonus credit for course participation and submitting evaluation forms (10%, 0.5% per lecture)