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Course Description

Artificial intelligence is influenced by various human factors. In this course, you will delve into the human elements that affect the design, implementation, and evaluation of tools in the healthcare industry. You’ll examine how to apply user-centered and participatory design theory to potential solutions in healthcare, including the FAVES principles: fairness, appropriateness, validity, effectiveness, and safety. You’ll discover how to create and assess a design based on a real-life problem, equipping you with the skills to translate theory into practice. You’ll also explore how human factors impact different aspects of artificial intelligence and discover how to incorporate these considerations when designing a healthcare product or service related to digital health.

You are required to have completed the following courses or have equivalent experience before taking this course:

  • Machine Learning in Healthcare
  • Data Management in Healthcare
  • Natural Language Processing in Healthcare

Faculty Author

Jose Florez-Arango

Benefits to the Learner

  • Explore and apply human factors related to digital health
  • Apply design theory to solutions in healthcare
  • Evaluate usability and acceptability in digital health

Target Audience

  • Data scientists
  • Medical and health services managers
  • Database and IT data architects
  • Data engineers
  • Digital transformation managers
  • Clinicians with experience in informatics
  • Biomedical and clinical informatics fellows
  • Aspiring medical database managers or administrators

Applies Towards the Following Certificates

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Enroll Now - Select a section to enroll in
Type
2 week
Dates
Jul 09, 2025 to Jul 22, 2025
Total Number of Hours
14.0
Course Fee(s)
Contract Fee $999.00
Type
2 week
Dates
Oct 01, 2025 to Oct 14, 2025
Total Number of Hours
14.0
Course Fee(s)
Contract Fee $999.00
Type
2 week
Dates
Dec 24, 2025 to Jan 06, 2026
Total Number of Hours
14.0
Course Fee(s)
Contract Fee $999.00
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