Do the planners or presenters have any relevant financial relationships to disclose?

<text variant="body1">No. The planners and presenters for this educational activity do not have relevant financial relationships with ineligible companies that produce, market, sell, resell, or distribute healthcare products used by or on patients. <text variant="body1">If a relevant financial relationship exists, the disclosure will identify the individual’s name and role, the company involved, and confirm that the relationship has been reviewed and mitigated.

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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Applying AI in Nursing Practice

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Applying AI in Nursing Practice

This course is part of AI in Nursing Practice: Foundations for Quality and Safety Specialization

Instructors: Elaine Kauschinger

Included with Learn more

6 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

6 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Apply the AI-SBAR framework to interpret and communicate AI-informed clinical concerns.
Integrate AI outputs with patient assessment, clinical context, patient goals, and nursing judgment.
Respond appropriately when AI outputs align with or conflict with bedside observations.
Document, communicate, and escalate AI-related clinical concerns using professional judgment and organizational procedures.

Skills you'll gain

Tools you'll learn

Generative AI

Details to know

Shareable certificate

Add to your LinkedIn profile

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Build your subject-matter expertise

This course is part of the AI in Nursing Practice: Foundations for Quality and Safety Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 6 modules in this course

This course helps nurses integrate AI outputs with patient assessment, clinical context, patient goals, and professional judgment. Through the AI-SBAR framework and interactive clinical cases, learners will practice responding when AI outputs align with or conflict with bedside findings, reviewing generative AI content, communicating concerns, documenting clinical reasoning, and escalating safety issues appropriately.

In support of improving patient care, Duke University Health System Clinical Education and Professional Development is accredited by the American Nurses Credentialing Center (ANCC), the Accreditation Council for Pharmacy Education (ACPE), and the Accreditation Council for Continuing Medical Education (ACCME), to provide continuing education for the health care team. The designation was based upon the quality of the educational activity and its compliance with the standards and policies of the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC). Duke University Health System Department of Clinical Education and Professional Development designates this activity for up to 9 credit hours for nurses. Nurses should claim only credit commensurate with the extent of their participation in this activity. Upon completion of all three courses (Seeing AI in Nursing Practice, Evaluating AI in Nursing Practice, and Applying AI in Nursing Practice) in the AI in Nursing Practice: Foundations for Quality and Safety Specialization, you will be eligible to apply for continuing education credits. Please note that continuing education credit rosters will be collected quarterly.

AI-SBAR is the framework used throughout this course. In this module, you’ll become familiar with the framework, connect it to the clinical reasoning you already use, and prepare to apply it in the case studies ahead.

What's included

1 video4 readings

Not every AI output will conflict with what you observe with your patient. Sometimes the tool and your clinical assessment both provide accurate information, but each highlights a different part of the patient’s situation. This module explores how to respond when an AI output complements and adds context to your clinical picture.

What's included

1 video2 readings1 assignment

These two cases share a common challenge: the AI tool suggests one thing, while your clinical observations suggest another. This module will help you consider why that gap may exist and practice responding with confidence when you encounter it.

What's included

2 videos4 readings2 assignments

2 videosTotal 15 minutes

When AI Doesn’t Match What You See8 minutes
When AI Misses a Decline You Noticed7 minutes

4 readingsTotal 24 minutes

Pre-Case Overview: Ms. Patel2 minutes
Post-Case Reflection: Ms. Patel10 minutes
Pre-Case Overview: Ms. Daniels2 minutes
Post-Case Reflection: Ms. Daniels10 minutes

2 assignmentsTotal 15 minutes

Ms. Patel: A Closer Look10 minutes
Ms. Daniels: A Closer Look5 minutes

This case is different from the previous two. Your assessment is reassuring and the alert is the only thing raising a concern. This module practices taking an unexpected AI output seriously without overreacting, and using it as a prompt for focused reassessment.

What's included

1 video2 readings1 assignment

This module shifts from internal reasoning to external action. Through a generative AI scenario in an outpatient telehealth setting, you'll practice what happens when your clinical judgment has to become visible in documentation, in communication with your care team, and in what you say to a patient.

What's included

4 readings1 assignment

In this module, you'll close the course with a synthesis of what applied AI literacy means for nursing going forward.

What's included

1 video4 readings1 assignment

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Elaine Kauschinger

Duke University

3 Courses6 learners

Kais Gadhoumi

Duke University

3 Courses6 learners

Michael Cary

Duke University

3 Courses6 learners

Offered by

Duke University

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Frequently asked questions

Duke University Health System Department of Clinical Education and Professional Development designates this activity for up to 9 credit hours for nurses. Nurses should claim only credit commensurate with the extent of their participation in this activity.

Upon completion of all three courses (Seeing AI in Nursing Practice, Evaluating AI in Nursing Practice, and Applying AI in Nursing Practice) in the AI in Nursing Practice: Foundations for Quality and Safety Specialization, you will be eligible to apply for continuing education credits. Please note that continuing education credit rosters will be collected quarterly.

No. The planners and presenters for this educational activity do not have relevant financial relationships with ineligible companies that produce, market, sell, resell, or distribute healthcare products used by or on patients.

If a relevant financial relationship exists, the disclosure will identify the individual’s name and role, the company involved, and confirm that the relationship has been reviewed and mitigated.

To access course materials, assignments, and earn a Certificate, you'll need to purchase the Certificate experience when you enroll in a course. Eligible learners may also have the option to start with a Free Trial. Some courses may also offer a Full Course, No Certificate option. This lets you access course materials, submit required assessments, and receive a final grade, but you won't be able to earn or purchase a Certificate.