Course Overview

  • Clinical Information Systems

    Learn about the landscape of health care information technology, the importance of clinical and real-world data standards, and how to effectively use these systems and data for evidence generation.

  • OMOP Data Model

    Understand the Observational Medical Outcomes Partnership (OMOP) common data model along with its benefits and limitations. Use our hands-on workshops to learn how to implement an OMOP database, create and load synthetic data, and how to use the data model to generate insights.

  • Insight Generation

    Identify best practices to extract and analyze real-world data from the OMOP data model. Understand regulatory aspects of clinical and clinical trial use of real-world data assets. Implement approaches to validate data and analysis pipelines in a regulated environment.

Course curriculum

    1. Introduction and Overview

    1. Clinical Information Systems

    2. Healthcare Standards

    1. Migrating from CRFs to EHRs - The Evolution of CDMs

    2. Data Quality and Secondary Use

    1. The OMOP Data Model

    2. Workshop - Deploying an OMOP Instance

    3. The OMOP Vocabularies

    4. Workshop - Loading the OMOP Vocabulary

    1. Regulatory Considerations for AI/ML in Clinical Care

About this course

  • $999.00
  • 10 lessons
  • 0 hours of video content

More Information

This course is available, but currently in private beta. If you would like more details or to register for the course, enter your e-mail below.

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