Categories Healthcare

AI+ Nurse™

  • Blending Human Touch with AI Intelligence

$82.00

Intermediate
AI+ Nurse.
40h
1 Year.
$82.00
Training 5 or more people?

Blending Human Touch with AI Intelligence.

  • 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
  • AI in Patient Care: Learn how AI enhances patient monitoring, early warning systems, and proactive care delivery.
  • Clinical Decision Support: Understand AI tools that assist nurses in medication management, triage, and treatment recommendations.
  • Workflow Optimization: Discover how AI reduces administrative burdens and streamlines nursing workflows for efficiency.
  • Ethical and Human-Centered Care: Explore responsible AI practices that preserve empathy, trust, and patient-centered values in nursing.
  • Practical Simulations: Apply skills in real-world nursing scenarios through interactive, AI-powered case-based learning.

Course Curriculum

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 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 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 at Massachusetts General Hospital (MGH) 2.6 Hands-On Exercise: Using the ChatGPT Registered Nurse Tool in Clinical Documentation and Patient Education

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: Interpreting Predictive Alerts with ChatGPT

Module 4: Generative AI in Nursing
4.1 Introduction to Generative AI in Nursing 4.2 Large Language Models (LLMs) 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: Exploring AI-Powered Differential Diagnosis with Symptoma

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 (Optum Algorithm Case). 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: Using AI to Enhance Real-Time Clinical Decision-Making at UAB Medicine with MIC Sickbay 6.7 Hands-on: Evaluating AI Diagnostic Model Performance Using Confusion Matrix Metrics

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 Activity: Calculating Clinical Risk Scores and Visualization with ChatGPT

Module 8: Capstone Project
1. Capstone Project – Designing a Personal AI-in-Nursing Impact Plan

Learning Objectives

  • The AI + Nurse certification program equips healthcare professionals with the essential skills to integrate artificial intelligence into nursing practice.
  • By focusing on AI technologies and their application in clinical settings, the certification prepares nurses to enhance patient care, optimize workflows, and improve decision-making.
  • The program covers AI fundamentals, data analytics, machine learning, and ethical considerations, enabling nurses to confidently leverage AI tools to advance patient outcomes.
  • With the growing role of technology in healthcare, the AI + Nurse certification provides a critical edge for nurses seeking to stay at the forefront of the evolving healthcare landscape.

Resource Center

  • Videos, Use cases, Workshops, E-books and tools.

Target Audience

  • Registered Nurses (RNs).
  • Nursing Students.
  • Healthcare Administrators.
  • Clinical Informatics Specialists.
  • Nurse Educators & Trainers.

Job Roles & Industry Outlook 

Clinical Al Nursing Coordinator
Manage the implementation of Al- powered nursing systems to streamline daily tasks, minimize errors, and improve patient safety.
Al Patient Care Data Specialist
Utilize Al models to interpret nursing and patient care data, predict patient needs, and support evidence-based nursing practices.
Healthcare Operations Al Manager
Lead initiatives to integrate Al in nursing operations, optimizing resource allocation and enhancing patient-care delivery systems.
Chief Nursing Al Officer (CNAIO)
Direct organizational Al adoption in nursing, driving innovation, workforce empowerment, and patient-centered digital transformation.
Al Nursing Practice Consultant
Guide hospitals and care facilities in adopting Al tools to improve patient monitoring, workflow efficiency, and quality of care.

Exam Information

Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via proctored exam platform (flexible scheduling)
Fees include
One year of access to course content, including continuous updates. Certification exam. One exam re-take.

Exam Blueprint:

What is AI for Nurses? – 7%
AI for Documentation, Workflow, and Data Literacy – 15%
Predictive AI and Patient Safety – 15%
Generative AI in Nursing – 15%
Ethics, Safety, and Advocacy in AI Integration – 12%
Evaluating and Selecting AI Tools – 12%
Implementing AI and Leading Change on the Unit – 12%
Capstone Project – Designing a Personal AI-in-Nursing Impact Plan - 12%

Explore our Schedules

Aug 23 - Aug 27
GMT 09:00 AM - 05:00 PM
In-person
Doha
724.5$
5 Days
Aug 23 - Aug 27
GMT 09:00 AM - 05:00 PM
In-person
Muscat
724.5$
5 Days

Certificate of Completion

AI+ Nurse.

$82.00

Intermediate
AI+ Nurse.
40h
1 Year.
$82.00
Training 5 or more people?

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