Data, Information and Knowledge Representation 2016

Durham, NC US
November 18, 2016 to February 4, 2017

This course addresses different strategies for representing data, information and knowledge including description logic, information models, data elements, terminologies and ontologies. Emphasis is placed on the data, information, and knowledge framework for solving problems in health informatics. Declarative and procedural knowledge acquisition, modeling, representation and use will be explored.

Learning Objectives

Identify health care  interoperability standards, clinical terminologies and understand how they relate to health analytics and how they are applied to medical data.
Discuss and describe technical infrastructure vulnerabilities and risks and be familiar with tools and methods for mitigating potential breaches or abuse.
Demonstrate the knowledge and skills to integrate and analyze data, data warehousing, improved patient safety and quality of care and organization to achieve appropriate analytics solution
 

Course summary
Available credit: 
  • 27.00 JA Credit - AH
Registration Opens: 
02/04/2017
Registration Expires: 
06/03/2017
Activity Starts: 
11/18/2016 - 8:00am EST
Activity Ends: 
02/04/2017 - 10:15am EST
Add to calendar: 
Hock Plaza
Erwin Road
Durham, NC 27710
United States

Available Credit

  • 27.00 JA Credit - AH
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