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Introduction to Clinical Informatics In-Person


This is an introductory lecture in clinical informatics, including an overview of computational methodologies available to mine and analyze Electronic Health Record Data (EHR), and of recent studies that incorporate and feature EHR data. We will also focus on the utility of common data models, such as the Observational Medical Outcomes Partnership (OMOP) model created by the OHDSI consortium, which is in the center of the UC-Health Data Warehouse.

Learning Objectives

By the end of the workshop participants should:

  • Understand components of EHRs
  • Understand strengths and weaknesses of EHRs
  • Understand what a common data model is (e.g. the OMOP model)


There are no prerequisites for this course other than having an interest in clinical informatics and EHR data analysis.


This course does not require any special software to be installed.


Benjamin Glicksberg, PhD is a Postdoctoral Scholar in Atul Butte’s lab in the Bakar Computational Health Sciences Institute at UCSF.

Related LibGuide: Bioinformatics and Statistics Resources by Ariel Deardorff

Monday, Jul 22 2019
3:00pm - 5:00pm
Time Zone:
Pacific Time - US & Canada (change)
Mission Hall 1401, Mission Hall 1402
Mission Bay
  Data Science > Bioinformatics and Statistics     Data Science  
Registration has closed.

Event Organizer

Profile photo of Karla Lindquist
Karla Lindquist