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