AI+ Nurse Practitioner™
- Price 109 EUR + VAT
- E-learning Start any time
- Duration 8 hours of content, self-paced
- Language English
- Topic AI Healthcare
How you can take it
- E-learning Start any time · 109 EUR + VAT Order
- Open course Not available in this format
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Overview
What the course covers
The course, the materials and the exam are in English. The description below is the original AI CERTs® text.
- Patient-Centric AI Care: Designed for nurses to leverage AI for enhanced patient outcomes
- Data-Driven Decisions: Provides practical insights for informed clinical and operational choices
- Comprehensive AI Understanding: Covers AI fundamentals to real-world healthcare applications
- Clinical Excellence with AI: Empowers nurses to confidently integrate AI into daily healthcare practice
Prerequisites
Basic nursing knowledge, Familiarity with healthcare technology, Critical thinking, Foundational AI and ML concepts, Problem solving skills
Audience
Who is it for
Registered Nurses (RNs): Professionals seeking to integrate AI into daily patient care and clinical decision-making.
Nursing Students: Learners aiming to build future-ready skills in AI-driven healthcare practices.
Healthcare Administrators: Individuals looking to optimize nursing workflows and enhance patient care outcomes.
Clinical Informatics Specialists: Experts interested in applying AI to electronic health records and patient data analysis.
Nurse Educators & Trainers: Professionals preparing the next generation of nurses with AI-powered healthcare knowledge.
In the price
What the price includes
- Self-paced online course with the full learning material
- The official AI CERTs® exam
- Digital badge after passing the exam
Course content
Syllabus
Module 1: AI for Nurses
- 1.1 Understanding AI Basics in a Nursing Context
- 1.2 Where AI Shows Up in Nursing
- 1.3 AI Risks Nurses Must Recognize
- 1.4 AI as a Nursing Support Tool
Module 2: AI for Documentation, Workflow, and Data Literacy
- 2.1 AI in Nursing Documentation
- 2.2 Workflow Automation in Nursing Practice
- 2.3 Beginner’s Guide to Data Literacy in Nursing
- 2.4 Data Integrity and Documentation Safety
- 2.5 Communication and Translation Support
- 2.6 Real-World Case Studies: Documentation AI in Practice
Module 3: Predictive AI and Patient Safety
- 3.1 Understanding Predictive AI in Healthcare
- 3.2 Evaluating Alerts and Model Performance
- 3.3 Human-in-the-Loop Clinical Decision-Making
- 3.4 Interdisciplinary Response and Handoff Support
- 3.5 Bias and Equity in Predictive Models
- 3.6 Real-World Case Studies: Predictive AI in Practice
Module 4: Generative AI and Nursing Education
- 4.1 Introduction to Generative AI in Nursing
- 4.2 Safe Use of Generative AI
- 4.3 Patient Education and Communication Materials
- 4.4 Multilingual and Accessible Communication
- 4.5 Clinical Use Boundaries for Generative AI
- 4.6 Real-World Case Studies: Generative AI in Practice
Module 5: Ethics, Safety, and Advocacy in AI Integration
- 5.1 Bias, Fairness, and Inclusion
- 5.2 Informed Consent and Transparency
- 5.3 Privacy, Security, and Confidentiality
- 5.4 Regulatory Literacy for Nurses
- 5.5 Professional Responsibility and Accountability
Module 6: Evaluating and Selecting AI Tools
- 6.1 Understanding Performance Metrics
- 6.2 Predictive Tools vs. Generative Tools
- 6.3 Vendor Red Flags
- 6.4 The Nurse Practitioner’s Role in Tool Selection
Module 7: Implementing AI and Leading Change on the Unit
- 7.1 Building Buy-In
- 7.2 Change Management Essentials
- 7.3 Creating an AI Playbook: A Comprehensive Roadmap for Sustainable Success
- 7.4 Monitoring Quality Improvement
- 7.5 Error Reporting and Safety Protocols
- 7.6 Real-World Case Studies in AI Implementation and Change Leadership
Module 8: Capstone Project: Designing a Personal AI in Nursing Impact Plan
- 8.1 Capstone Project – Designing a Personal AI-in-Nursing Impact Plan
Optional Module: AI Agents for AI+ Nurses
- 1. What Are AI Agents?
- 2. How Does an AI Agent Work in Healthcare?
- 3. Core Characteristics of AI Agents
- 4. Importance of AI Agents (General + Nursing)
- 5. Significance of AI Agents in Nursing
- 6. Types of AI Agents?
- 7. Applications and Trends in Nursing
- 8. Case Study – AI Agents for Nursing Workflow & Sepsis
Exam
About the exam
- 50 Questions
- 90 min Time limit
- 70% Pass mark
- Online proctored exam
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