Course Description and Competencies

What to Expect

In this course, you’ll move through modules that build your understanding of artificial intelligence (AI) in healthcare step by step. Each module is divided into smaller lessons that begin with the basics of how AI is used in clinical practice and healthcare operations. Then, you’ll move on to evaluating, applying, and monitoring these tools responsibly. As you study, you’ll build a strong foundation in healthcare AI and strengthen your ability to use these concepts in ways that support patient care, workflow efficiency, and professional accountability.

You’ll explore important topics, including how AI is used in diagnosis support, care planning, clinical documentation, scheduling, staffing, and administrative workflows. You’ll learn how to evaluate AI tools for ethics, safety, privacy, bias, and health equity. You’ll also learn how to recognize when AI is appropriate for a task and when human judgment must remain central. Along the way, you’ll examine how AI can affect patients, clinicians, and healthcare systems, and how responsible use of AI can help improve quality, safety, and trust in healthcare environments.

 Throughout the course, you’ll find a variety of learning activities to help you understand and apply new ideas. These include readings that explain key concepts in clear sections, videos that introduce real-world examples, interactive activities that help you practice decision-making, and knowledge checks that let you test your understanding as you go. Reflections and application exercises will also help you connect course concepts to real healthcare settings and prepare you to use AI thoughtfully and responsibly in practice.

Prerequisites:

Generative AI Skills (GAI1)

Course Competencies

This course covers the following competencies:

  • Evaluates AI use in Healthcare: The student evaluates the use of artificial intelligence in healthcare. 
  • Integrates AI into Clinical Practice and Operations: The student integrates artificial intelligence into clinical practice and healthcare operations.

Assessment

The assessment provides an opportunity to demonstrate your mastery of the competencies in this course. You may attempt the assessment two times before additional support is necessary. If you require further attempts, please contact your Student Experience Team.

1 Final Project
2 Competency Units

Course Outline

ModuleUpon completion of this module, you will be able to:
Evaluating AI in Healthcare
  •  Analyze characteristics of healthcare activities relevant to artificial intelligence use. 
  • Evaluate artificial intelligence use against ethical, safety, privacy, and equity standards. 
  • Assess the potential impact of artificial intelligence use on patients or populations.
Using AI in Healthcare
  • Apply artificial intelligence within workflows used in healthcare practice.
  • Incorporate human oversight into the use of artificial intelligence. 
  • Examine artificial intelligence outputs for limitations or risk. 
  • Adapt artificial intelligence use within professional scope of practice and organizational boundaries.

Key Contacts

Certificate Connect
Check out this online community to take advantage of course resources, including videos and tips from your educators. You can ask and answer questions, provide feedback on your progress, and interact with fellow students. You will find this platform in the Student Resources section of the course. Log on and do some exploring!

Technical Support
If you encounter technical issues, be sure to contact the Help Desk. Just submit a Support Request for assistance.

Program Support
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Accommodations

WGU provides compliant and accessible learning experiences. If you require accommodation, please contact us at the start of the course. You can email disability@academy.wgu.edu.

We are committed to ensuring that all students with disabilities have equal access to WGU's services and materials. We strive to use best practices for accessibility. Our goal is to conform to existing U.S. laws, including the Americans with Disabilities Act and Section 504 and Section 508 of the Rehabilitation Act.

Our learning management system (LMS) platform is Open edX. Open edX’s commitment to accessible content is published in their Website Accessibility Policy.