GTx: Health Informatics: Data and Interoperability Standards

The key standards for representing and sharing healthcare data.

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Course Insight

Suitable for beginner learners. This course serves as an entry point into Health, building foundational knowledge before moving on to advanced frameworks or specialized paths.

Beginner FriendlyCertification IncludedSelf-Paced Learning

SKILLS TO
MASTER

Health Basics
Fundamental principles and concepts
Practical ApplicationTrending
Real-world project implementation
Best Practices
Industry standard workflows and guidelines
Problem Solving
Core Concepts
Implementation
Workflow Integration
Optimization
Careers:Relevant for professionals pursuing roles within Health.

Quick Facts

Below sections are verified from last major sync. For real-time updates and today's latest lectures, Check official page here.

What You’ll Learn

  • Working familiarity with the major health care data standards.
  • Awareness of the web-based tools for accessing the data standards.
  • HL7 as the global health care interoperability standards organization.
  • HL7 interoperability standards history.
  • The HL7 interoperability standards that preceded FHIR.
  • The FHIR interoperability standard.
  • The SMART on FHIR EHR connected app platform.
  • Familiarity with web-based tools for learning and utilizing FHIR and SMART on FHIR.
See side-by-side differences in what you’ll learn

Description

Once electronic health records and other clinical systems used in patient care are digital, the focus turns to how this health information can be represented and shared using standards. Developing standards that are both sufficiently comprehensive and also implementable in practice is one of the long-standing health informatics challenges in part because of the complexity of the human body and the resultant complexity of patient care. We discuss data and data sharing (interoperability) standards separately but they are inevitably intertwined since the information being shared using interoperability standards is often represented using data standards.

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