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.

What will I get if I subscribe to this Specialization?

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.

Seeing AI in Nursing Practice

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Seeing 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

4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Identify common AI tools used in nursing workflows.
Explain how AI systems transform clinical data into outputs.
Distinguish between rule-based systems, machine learning models, predictive AI, and generative AI.
Describe how healthcare organizations select and govern AI tools.

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 4 modules in this course

AI is already shaping what information reaches nurses in practice through risk scores, deterioration alerts, reordered patient lists, and documentation tools that often appear without explanation.

This course helps nurses see the structure behind every AI tool in their workflow, the inputs it draws from, the model doing the analysis, the tool that displays the result, and the output it produces. Through the four-bucket framework, flagged, summarized, prioritized, triggered, and guided Dialogue activities, learners will practice naming the AI tools already present in their own practice, telling rule-based systems apart from machine learning, distinguishing predictive AI from generative AI, and asking the governance questions that determine who's accountable when something doesn't seem right. 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). 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. 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. Please note the rosters are collected quarterly.

This module introduces the shared vocabulary used throughout the rest of the Specialization. Having a common set of terms will help you understand AI outputs, evaluate them thoughtfully, and make informed decisions about how to use them.

What's included

3 videos6 readings2 assignments

3 videosTotal 17 minutes

Welcome to the Course Series5 minutes
Seeing AI in Nursing Practice4 minutes
Building Blocks of AI8 minutes

6 readingsTotal 21 minutes

Welcome to Seeing AI2 minutes
Meet Your Instructors2 minutes
A Map for Everything Ahead5 minutes
Lesson Overview2 minutes
Term Spotlight: Artificial Intelligence (AI)5 minutes
Term Spotlight: Machine Learning and Rule‑Based Systems5 minutes

2 assignmentsTotal 15 minutes

What Counts as AI?10 minutes
Recognizing Machine Learning and Rule-Based Systems5 minutes

This module builds on the vocabulary introduced in Module 1 and connects it to nursing practice. By the end, you’ll be better prepared to recognize how the tools you use during a typical shift work.

What's included

2 videos7 readings2 assignments

2 videosTotal 14 minutes

How AI Moves Through Your Workflow9 minutes
AI Tools You May Already Be Using5 minutes

7 readingsTotal 29 minutes

Lesson Overview2 minutes
Term Spotlight: AI Models and AI Tools5 minutes
Term Spotlight: Inputs and Outputs5 minutes
Lesson Overview2 minutes
Term Spotlight: Predictive AI vs. Generative AI5 minutes
Inside the Epic Deterioration Index5 minutes
Inside DAX Copilot5 minutes

2 assignmentsTotal 10 minutes

Recognizing AI in Nursing Workflows5 minutes
Recognizing Predictive AI vs. Generative AI5 minutes

This module looks beyond individual tools to the organizational structures that guide how they are selected, configured, and used. AI tools are introduced into clinical workflows through organizational decisions, and nurses play an important role in asking questions, raising concerns, and helping ensure that these tools support safe and effective care.

What's included

1 video4 readings1 assignment

In this module, you’ll apply what you’ve learned to a tool from your own clinical workflow. You’ll leave with a practical framework to help you understand, evaluate, and navigate AI tools you may encounter in the future.

What's included

1 video5 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

Offered by

Duke University

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Frequently asked questions

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.

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.