Reviews 4,2
Reviews 4,5
100% fundable

AI+ Nurse Practitioner™

Modern healthcare depends on AI to make nursing workflows more precise, secure, and efficient. The content combines medical practice with advanced data methods – digital support improves the quality of care and strengthens clinical decisions.

Key topics

  • AI-based analysis of clinical data.
  • Smart decision support in everyday nursing.
  • Automated documentation and process optimization.
  • Modern tools for monitoring and risk detection.
  • Responsible use of AI in the healthcare environment.

Prerequisite
A basic understanding of medical processes and openness to digital technologies is all that's needed.

Target group
Nursing professionals, clinical staff, and healthcare workers interested in AI-supported solutions for their daily practice.

Future-proof skills emerge when medical knowledge and intelligent technology work together – a step toward care-focused innovation standards.
 

course content
  • Where AI is being used in healthcare.
  • Case study: Improving patient safety and care efficiency with AI at Riverside Medical Center.
  • Practical example: Using AI for nursing staff to visualize clinical data in postoperative care.
  • Foundations of natural language processing.
  • Workflow automation: reshaping everyday nursing practice
  • Getting started with data literacy in nursing.
  • Legal and compliance basics for AI documentation in nursing.
  • Case study: AI and workflow automation at Massachusetts General Hospital (MGH).
  • Hands-on exercise: ChatGPT for nurses in clinical documentation and patient education.
  • How predictive models work
  • Alert fatigue and building trust
  • Simulation exercise: Responding to real-time condition deterioration alerts.
  • Collaboration across care teams
  • Bias in predictive outcomes
  • Case study
  • Hands-on exercise: Analyzing predictive alerts with ChatGPT.
  • Getting started with generative AI in nursing
  • Large language models (LLMs) for nursing professionals
  • Using AI to create patient education materials
  • Promoting safe and ethical AI use
  • Case study
  • Hands-on exercise: AI-assisted differential diagnosis with Symptoma.
  • Bias, equity, and inclusion
  • Informed consent and transparency in AI use
  • Nursing advocacy and professional responsibility
  • Developing an ethics checklist
  • Approaches to stakeholder engagement
  • Legal and regulatory frameworks
  • Psychological and social dimensions
  • Case study: Racial bias in healthcare algorithms (Optum algorithm case).
  • Hands-on exercise: Identifying bias in diabetes risk prediction – a fairness analysis with Aequitas.
  • Key performance indicators at a glance
  • Spotting risk signals in AI vendors
  • The nurse’s role in the selection process
  • Using evaluation templates and checklists
  • Applied examples: AI in clinical decision-making
  • Case study: AI for real-time clinical decision support at UAB Medicine with MIC Sickbay.
  • Hands-on exercise: Evaluating AI diagnostic models using confusion matrix metrics.
  • Building buy-in: positioning AI as an ally, not a threat.
  • Core principles of change management
  • Developing an AI implementation strategy: a practical roadmap for lasting success.
  • Tracking quality improvements: applying AI metrics for ongoing progress.
  • Error reporting and safety protocols: ensuring a reliable AI rollout.
  • Hands-on exercise: Calculating clinical risk scores and visualizing results with ChatGPT.
  • Project – Designing a personal action plan for the use of artificial intelligence in nursing.

Up to 100% funding for your continuing education

Attractive funding opportunities are available for numerous continuing education programs – depending on the funding program, up to 100% funding is possible.
The requirement is that you live or work in Germany. Our funding opportunities are not available outside of Germany.

Funding opportunities are available for career starters, job seekers, career changers, startups, experienced professionals, those seeking career advancement, and specialists.