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Introduction to Clinical Informatics In-Person
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 Ariel Deardorff
- Date:
- Monday, Jul 22 2019
- Time:
- 3:00pm - 5:00pm
- Time Zone:
- Pacific Time - US & Canada (change)
- Location:
- Mission Hall 1401, Mission Hall 1402
- Campus:
- Mission Bay
- Categories:
- Data Science > Bioinformatics and Statistics Data Science
