Module 1: What is AI for Nurses?

1.1 Understanding AI Basics in a Nursing Context

1.2 Understanding AI Basics in a Nursing Context

1.3 Case Study: Improving Patient Safety and Nursing Efficiency with AI at Riverside Medical Center

1.4 Hands-on: Using Nurse AI for Clinical Data Visualization in Postoperative Nursing Care

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

2.1 Introduction to AI in Nursing

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 at Massachusetts General Hospital (MGH)

2.6 Hands-On Exercise: Using the ChatGPT Registered Nurse Tool in Clinical Documentation and

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 Deterioration Alerts

3.4 Collaborating Across Teams

3.5 Bias in Predictions

3.6 Case Study

3.7 Hands-On Activity: Integrating Predictive AI into Nursing Practice

Module 4: Generative AI and Nursing Education

4.1 Introduction to Generative AI in Nursing

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 and Transparency

5.3 Nurse Advocacy and 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: Addressing Racial Bias in Healthcare Algorithms

5.9 Hands-on: Uncovering Bias in Diabetes Risk Prediction: A Fairness Audit Using Aequitas

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 and Checklists

6.5 Use Cases: AI in Clinical Decision-Making

6.6 Case Study

6.7 Hands-On

Module 7: Implementing AI and Leading Change on the Unit

7.1 Building Buy-In: Promoting AI as an Ally, Not a Competitor

7.2 Change Management Essentials

7.3 Creating an AI Playbook: A Comprehensive Roadmap for Sustainable Success

7.4 Monitoring Quality Improvement: Leveraging AI Metrics for Continuous Enhancement

7.5 Error Reporting and Safety Protocols: Ensuring Safe and Reliable AI Integration

7.6 Hands-On: Calculating Clinical Risk Scores and Visualization with ChatGPT

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