AI+ Nurse (AP 1102 Self-Paced Training)
Ziele der Schulung
Wichtiger Hinweis
Dieses offizielle eLearning von AI Certs (Self-Paced Training) vermittelt Ihnen fundiertes Fachwissen zur selbstgesteuerten Vorbereitung auf die entsprechende Zertifizierung. Der enthaltene Examens-Voucher ermöglicht Ihnen die direkte Teilnahme an der Zertifizierungsprüfung – ohne zusätzliche Kosten.
Seminarziel
The AI+ Nurse certification is designed to empower nursing professionals and healthcare practitioners with the knowledge and skills to integrate artificial intelligence into nursing practice. It blends human-centered care with practical AI understanding, enabling learners to enhance patient outcomes, optimize clinical workflows, and make data-driven decisions using AI tools. Participants will gain a comprehensive foundation in how AI applies to nursing—from predictive safety systems to workflow automation—through practical simulations and real-world scenarios.
Zielgruppe Seminar
- Registered Nurses (RNs) seeking to integrate AI into clinical care.
- Nursing Students aiming to develop AI-informed nursing skills.
- Healthcare Administrators looking to optimize workflows.
- Clinical Informatics Specialists applying AI to health data.
- Nurse Educators & Trainers preparing future nurses.
Voraussetzungen
- Basic Nursing Knowledge (clinical practices & patient care).
- Familiarity with Healthcare Technology and EHR systems.
- Introduction to Data Science concepts.
- Basic AI and Machine Learning understanding.
- Critical Thinking and Problem Solving skills.
Seminarinhalt
Module 1: What is AI for Nurses?
- 1.1 What is AI for Nurses?
- 1.2 Where AI Shows Up in Nursing
- 1.3 Case Study: Improving Patient Safety and Nursing Efficiency with AI
- 1.4 Hands-on: Using Nurse AI for Clinical Data Visualization
Module 2: AI for Documentation, Workflow, and Data Literacy
- 2.1 Introduction to Natural Language Processing
- 2.2 Workflow Automation: Transforming Nursing Practice
- 2.3 Beginner’s Guide to Data Literacy in Nursing
- 2.4 Legal & Compliance Basics in Nursing AI Documentation
- 2.5 Case Study: Integrating AI and Workflow Automation
- 2.6 Hands-On Exercise: Clinical Documentation and Patient Education Tools
Module 3: Predictive AI and Patient Safety
- 3.1 Understanding Predictive Models
- 3.2 Alert Fatigue and Trust
- 3.3 Simulation Activity: Responding to Real-Time Alerts
- 3.4 Collaborating Across Teams
- 3.5 Bias in Predictions
- 3.6 Case Study
- 3.7 Hands-on Activity
Module 4: Generative AI in Nursing
- 4.1 Introduction to Generative AI in Nursing
- 4.2 Large Language Models for Nurses
- 4.3 Creating Patient Education Materials with AI
- 4.4 Ensuring Safe and Ethical Use of AI
- 4.5 Case Study
- 4.6 Hands-On Activity
Module 5: Ethics, Safety, and Advocacy in AI Integration
- 5.1 Bias, Fairness, and Inclusion
- 5.2 Informed Consent & Transparency
- 5.3 Nurse Advocacy & Professional Responsibilities
- 5.4 Creating an Ethics Checklist
- 5.5 Stakeholder Feedback Techniques
- 5.6 Legal and Regulatory Considerations
- 5.7 Psychological and Social Implications
- 5.8 Case Study
- 5.9 Hands-on: Fairness Audit
Module 6: Evaluating and Selecting AI Tools
- 6.1 Understanding Performance Metrics
- 6.2 Vendor Red Flags
- 6.3 Nurse Role in Selection
- 6.4 Evaluation Templates & Checklists
- 6.5 Use Cases in Clinical Decision-Making
- 6.6 Case Study
- 6.7 Hands-on: Diagnostic Tools Evaluation
Module 7: Implementing AI and Leading Change on the Unit
- 7.1 Building Buy-In and Acceptance
- 7.2 Change Management Essentials
- 7.3 Creating an AI Playbook
- 7.4 Monitoring Quality Improvement
- 7.5 Error Reporting & Safety Protocols
- 7.6 Hands-On: Risk Scores and Visualization
Module 8: Capstone Project
- Capstone Project – Designing a Personal AI-in-Nursing Impact Plan
Hinweise
Prüfung und Zertifizierung
- Duration: 90 minutes
- Passing Score: 70% (35/50)
- Format: 50 multiple-choice/multiple-response questions
- Delivery Method: Online via proctored exam platform
- Blueprint: Includes modules such as AI for Nurses, Workflow & Data Literacy, Predictive AI, Generative AI, Ethics, Tool Evaluation, Implementation, and Capstone Project.
Open Badge für dieses Seminar - Ihr digitaler Kompetenznachweis
Durch die erfolgreiche Teilnahme an einem Kurs bei IT-Schulungen.com erhalten Sie zusätzlich zu Ihrem Teilnehmerzertifikat ein digitales Open Badge (Zertifikat) – Ihren modernen Nachweis für erworbene Kompetenzen.
Ihr Open Badge ist jederzeit in Ihrem persönlichen und kostenfreien Mein IT-Schulungen.com-Konto verfügbar. Mit wenigen Klicks können Sie diesen digitalen Nachweis in sozialen Netzwerken teilen, um Ihre Expertise sichtbar zu machen und Ihr berufliches Profil gezielt zu stärken.
Übersicht: AI Certs Schulungen Portfolio
