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.

Applying AI in Nursing Practice

kurs ist nicht verfügbar in Deutsch (Deutschland)

Wir übersetzen es in weitere Sprachen.

Applying AI in Nursing Practice

Dieser Kurs ist Teil von Spezialisierung „AI in Nursing Practice: Foundations for Quality and Safety“

Dozenten: Elaine Kauschinger

Bei Mehr erfahren enthalten

6 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Anfänger

Empfohlene Erfahrung

4 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

6 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Anfänger

Empfohlene Erfahrung

4 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

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.

Kompetenzen, die Sie erwerben

Kategorie: Nursing Practices
Kategorie: Artificial Intelligence
Kategorie: Nursing and Patient Care
Kategorie: Nursing
Kategorie: Healthcare Ethics
Kategorie: Nursing Process

Werkzeuge, die Sie lernen werden

Kategorie: Generative AI

Wichtige Details

Zertifikat zur Vorlage

Zu Ihrem LinkedIn-Profil hinzufügen

Kürzlich aktualisiert!

September 2026

Bewertungen

6 Aufgaben

Unterrichtet in Englisch

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

Weitere Informationen zu Coursera für Unternehmen

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Erweitern Sie Ihre Fachkenntnisse

Dieser Kurs ist Teil der Spezialisierung Spezialisierung „AI in Nursing Practice: Foundations for Quality and Safety“

Wenn Sie sich für diesen Kurs anmelden, werden Sie auch für diese Spezialisierung angemeldet.

Lernen Sie neue Konzepte von Branchenexperten
Gewinnen Sie ein Grundverständnis bestimmter Themen oder Tools
Erwerben Sie berufsrelevante Kompetenzen durch praktische Projekte
Erwerben Sie ein Berufszertifikat zur Vorlage

In diesem Kurs gibt es 6 Module

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.

Das ist alles enthalten

1 Video4 Lektüren

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.

Das ist alles enthalten

1 Video2 Lektüren1 Aufgabe

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.

Das ist alles enthalten

2 Videos4 Lektüren2 Aufgaben

2 VideosInsgesamt 15 Minuten

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

4 LektürenInsgesamt 24 Minuten

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

2 AufgabenInsgesamt 15 Minuten

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

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.

Das ist alles enthalten

1 Video2 Lektüren1 Aufgabe

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.

Das ist alles enthalten

4 Lektüren1 Aufgabe

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

Das ist alles enthalten

1 Video4 Lektüren1 Aufgabe

Erwerben Sie ein Karrierezertifikat.

Fügen Sie dieses Zeugnis Ihrem LinkedIn-Profil, Lebenslauf oder CV hinzu. Teilen Sie sie in Social Media und in Ihrer Leistungsbeurteilung.

Dozenten

Elaine Kauschinger

Duke University

3 Kurse17 Lernende

Kais Gadhoumi

Duke University

3 Kurse17 Lernende

Michael Cary

Duke University

3 Kurse17 Lernende

von

Duke University

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Häufig gestellte Fragen

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.