AI+ Nurse™

Price
Net: 397,00 €
VAT.: 75,43 €

Duration
1 day

For companies and job seekers:
this course is 100% fundable!

Location

Course Language
English

Training Solutions
WalkIn^®

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Modern healthcare requires confident use of AI to make workflows more precise, secure, and efficient. The content combines medical practice with advanced data methods and shows how 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
Basic understanding of medical processes and openness to digital technologies.

Target group
Professionals from nursing, clinical areas, and health-related activities with an interest in AI-supported solutions.

Future-proof skills are created through the interaction of medical knowledge and intelligent technology—a step toward care-oriented innovation standards.

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course content

What is AI for caregivers?

Where AI is used in healthcare.
Case study: Improving patient safety and care efficiency with AI at Riverside Medical Center.
Practical example: Use of AI for nursing staff to visualize clinical data in postoperative care.

AI for documentation, workflows, and data literacy

Introduction to natural language processing.
Workflow automation: transforming nursing practice
Beginner's guide to data literacy in nursing.
Fundamentals of law and compliance in AI documentation in nursing.
Case study: Integration of AI and workflow automation at Massachusetts General Hospital (MGH).
Practical exercise: Using the ChatGPT tool for registered nurses in clinical documentation and patient education.

Predictive AI and patient safety

Understanding predictive models
Alarm fatigue and trust
Simulation exercise: Responding to real-time alerts when conditions deteriorate.
Cross-team collaboration
Prediction biases
Case study
Practical exercise: Interpreting predictive alerts with ChatGPT.

Generative AI in nursing care

Introduction to generative AI in nursing
Large language models (LLMs) for nurses
Creating patient education materials with AI
Ensuring safe and ethical use of AI
Case study
Hands-on exercise: Exploring AI-assisted differential diagnosis with Symptoma.

Ethics, security, and advocacy in the integration of AI

Bias, fairness, and inclusion
Informed consent and transparency
Advocacy by caregivers and professional duties
Creating an ethics checklist
Techniques for stakeholder feedback
Legal and regulatory considerations
Psychological and social impacts
Case study: Dealing with racial bias in healthcare algorithms (case study: Optum algorithm).
Practical exercise: Detecting bias in diabetes risk prediction: A fairness check with Aequitas.

Evaluation and selection of AI tools

Understanding performance indicators
Warning signs from providers
The role of caregivers in the selection process
Evaluation templates and checklists
Use cases: AI in clinical decision-making
Case study: Using AI to improve real-time clinical decision-making at UAB Medicine with MIC Sickbay.
Practical example: Evaluating the performance of AI diagnostic models using confusion matrix metrics.

Implementation of AI and management of the change process

Building acceptance: Promote AI as an ally rather than a competitor.
Fundamentals of change management
Creating an AI guide: A comprehensive roadmap for sustainable success.
Monitoring quality improvement: Using AI metrics for continuous improvement.
Error reporting and security protocols: Ensuring secure and reliable AI integration.
Practical exercise: Calculating clinical risk scores and visualization with ChatGPT.

Capstone project

Project – Drafting a personal plan for the use of artificial intelligence in nursing.

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently asked questions

What exactly does AI+ Nurse™ teach?

AI+ Nurse™ demonstrates how artificial intelligence can be used effectively in everyday nursing care—from documentation to decision support.

Do you need prior knowledge of AI to use AI+ Nurse™?

No—the course is designed to be beginner-friendly and explains all important terms and tools in a clear and practical way.

Which AI tools and applications are covered in AI+ Nurse™?

The course demonstrates practical tools such as Python, Scikit-learn, Keras, Jupyter Notebooks, Matplotlib, and Power BI to understand and apply data analysis, machine learning models, and AI-supported care workflows.

How does AI+ Nurse™ help in everyday working life?

The course shows how AI can reduce the burden of routine tasks, identify risks early on, and support patient care.

What sets AI+ Nurse™ apart from other courses?

Focus on nursing practice, intuitive learning content, and immediately applicable knowledge about AI in healthcare.

How relevant is AI for the future of nursing care?

Digital skills are becoming a key competency. AI+ Nurse™ provides targeted preparation for the changes in the nursing profession.

Are ethical issues also addressed?

Yes – the course covers responsibility, data protection, transparency, and fair use of AI in sensitive care contexts.

What career benefits does AI+ Nurse™ offer?

Digital skills strengthen your professional profile—whether in a hospital, nursing home, or outpatient service.

Do you have any further questions? Please contact us.

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website@newhorizons.de

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