• 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

Module 1: AI for Nurses

1. 1.1 Understanding AI Basics in a Nursing Context
2. 1.2 Where AI Shows Up in Nursing
3. 1.3 AI Risks Nurses Must Recognize
4. 1.4 AI as a Nursing Support Tool

Module 2: AI for Documentation, Workflow, and Data Literacy

1. 2.1 AI in Nursing Documentation
2. 2.2 Workflow Automation in Nursing Practice
3. 2.3 Beginner’s Guide to Data Literacy in Nursing
4. 2.4 Data Integrity and Documentation Safety
5. 2.5 Communication and Translation Support
6. 2.6 Real-World Case Studies: Documentation AI in Practice

Module 3: Predictive AI and Patient Safety

1. 3.1 Understanding Predictive AI in Healthcare
2. 3.2 Evaluating Alerts and Model Performance
3. 3.3 Human-in-the-Loop Clinical Decision-Making
4. 3.4 Interdisciplinary Response and Handoff Support
5. 3.5 Bias and Equity in Predictive Models
6. 3.6 Real-World Case Studies: Predictive AI in Practice

Module 4: Generative AI and Nursing Education

1. 4.1 Introduction to Generative AI in Nursing
2. 4.2 Safe Use of Generative AI
3. 4.3 Patient Education and Communication Materials
4. 4.4 Multilingual and Accessible Communication
5. 4.5 Clinical Use Boundaries for Generative AI
6. 4.6 Real-World Case Studies: Generative AI in Practice

Module 5: Ethics, Safety, and Advocacy in AI Integration

1. 5.1 Bias, Fairness, and Inclusion
2. 5.2 Informed Consent and Transparency
3. 5.3 Privacy, Security, and Confidentiality
4. 5.4 Regulatory Literacy for Nurses
5. 5.5 Professional Responsibility and Accountability

Module 6: Evaluating and Selecting AI Tools

1. 6.1 Understanding Performance Metrics
2. 6.2 Predictive Tools vs. Generative Tools
3. 6.3 Vendor Red Flags
4. 6.4 The Nurse Practitioner's Role in Tool Selection

Module 7: Implementing AI and Leading Change on the Unit

1. 7.1 Building Buy-In
2. 7.2 Change Management Essentials
3. 7.3 Creating an AI Playbook: A Comprehensive Roadmap for Sustainable Success
4. 7.4 Monitoring Quality Improvement
5. 7.5 Error Reporting and Safety Protocols
6. 7.6 Real-World Case Studies in AI Implementation and Change Leadership

Module 8: Capstone Project: Designing a Personal AI in Nursing Impact Plan

1. 8.1 Capstone Project – Designing a Personal AI-in-Nursing Impact Plan

Optional Module: AI Agents for AI+ Nurses

1. 1. What Are AI Agents?
2. 2. How Does an AI Agent Work in Healthcare?
3. 3. Core Characteristics of AI Agents
4. 4. Importance of AI Agents (General + Nursing)
5. 5. Significance of AI Agents in Nursing
6. 6. Types of AI Agents?
7. 7. Applications and Trends in Nursing
8. 8. Case Study - AI Agents for Nursing Workflow & Sepsis

AI Nursing Practice Consultant

Guide hospitals and care facilities in adopting AI tools to improve patient monitoring, workflow efficiency, and quality of care.

Clinical AI Nursing Coordinator

Manage the implementation of AI-powered nursing systems to streamline daily tasks, minimize errors, and improve patient safety.

AI Patient Care Data Specialist

Utilize AI models to interpret nursing and patient care data, predict patient needs, and support evidence-based nursing practices.

Healthcare Operations AI Manager

Lead initiatives to integrate AI in nursing operations, optimizing resource allocation and enhancing patient-care delivery systems.

Chief Nursing AI Officer (CNAIO)

Direct organizational AI adoption in nursing, driving innovation, workforce empowerment, and patient-centered digital transformation.