Introduction to Clinical Informatics

***Room changed to MH 1401 & 1402***

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.

***Room changed to MH 1401 & 1402***

 

Monday, July 22 at 3:00pm to 5:00pm

Mission Hall, MH 1401 & 1402
550 16th St, San Francisco, CA 94158

Event Type

Class/Info Session

Audience

Students, Postdocs, Faculty, Staff

Campus

Parnassus

Tags

Data Science Initiative, Clinical Informatics, bioinformatics

Website

https://calendars.library.ucsf.edu/ev...

Cost

Free

Department/Group
UCSF Library
Contact Info

karla.lindquist@ucsf.edu

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Event Registration Required

This event requires registration.