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Course

Introduction to Health Data & Informatics

Self-paced

$895 Enroll

Full course description

This course will give you an overview of informatics and its applications in numerous health-related professions. Topics covered in the on-demand modules will provide you with a high-level understanding of data systems and usage.  

 

Modules that will be covered:  

  • What is Health Data – Introduces the concepts of health data including where data is entered, how it is collected, and where data flows. 
  • Introduction to Health Data Standards – Provides an understanding of how health data is organized including terminologies and data standards. 
  • Introduction to Data Governance – Reviews the guidance around health data privacy, security and patient consent grounded in the ethics of data sharing.   
  • Ways to Use Health Data – Introduces the Data Information Knowledge and Wisdom (DIKW) Pyramid to help explore ways health data can be used including population health, quality improvement or value-based reimbursement. 
  • Health Data Representation – Shares examples and exemplars of health data visualization along with basic concepts in human-centered design to explore the best practices in data visualization. Representation of data with considerations to health equity and vulnerable populations will be introduced. 

 

Each module comprises a 15–20-minute presentation followed by learning activity and assessment with course evaluation. 

 

  • Upon completion, learners will have the capacity to: 

  • Identify the health system infrastructure where enter, collected and flows   
  • Recognize the opportunities and challenges of the current health data infrastructure in healthcare   
  • Describe the importance and intent of health data standards 
  • Explore codes through a variety of data standards including ICD-10, PHI, USCDI, FHIR   
  • Examine the ethics of data sharing related to privacy, security and consent   
  • Understand how and when health data is used across the healthcare system 
  • Determine how health data should be utilized   
  • Convey important considerations when visualizing health data   
  • Compare and contrast health data visualizations