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Introduction to Clinical Informatics

Overview

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)

Prerequisites

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

Software

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

Instructor

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 Karla Lindquist

Date:
Monday, July 22, 2019
Time:
3:00pm - 5:00pm
Location:
Mission Hall 1401, Mission Hall 1402
Campus:
Mission Bay
Categories:
  Bioinformatics and Statistics     Data Science Initiative  
Registration has closed.

Event Organizer

Profile photo of Karla Lindquist
Karla Lindquist