AI+ Nurse™

Kód kurzu: NPAP1102

Tato část není lokalizována

Formerly known as AI+ Nurse™

Blending Human Touch with AI Intelligence

  • Patient-Focused AI Integration: Tailored for nursing professionals to utilize AI for improved patient care results
  • Evidence-Based Choices: Delivers actionable knowledge for strategic clinical and administrative decision-making
  • Complete AI Proficiency: Spans AI essentials through practical healthcare implementations
  • Healthcare Excellence Through AI: Enables nurses to seamlessly incorporate AI into routine patient care activities

Odborní
certifikovaní lektoři

Mezinárodně
uznávané certifikace

Široká nabídka technických
a soft skills kurzů

Skvělý zákaznický
servis

Přizpůsobení kurzů
přesně na míru

Termíny kurzu

Počáteční datum: Na vyžádání

Garantovaný

Forma: Self-paced

Délka kurzu: 8 hodin

Jazyk: en

Cena bez DPH: 6 950 Kč

Registrovat

Počáteční datum: Na vyžádání

Garantovaný

Forma: Self-paced

Délka kurzu: 8 hodin

Jazyk: en

Cena bez DPH: 1 830 Kč

Registrovat

Počáteční
datum
Místo
konání
Forma Délka
kurzu
Jazyk Cena bez DPH
G Na vyžádání Self-paced 8 hodin en 6 950 Kč Registrovat
G Na vyžádání Self-paced 8 hodin en 1 830 Kč Registrovat
G Garantovaný kurz

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Kontakt

Popis kurzu

Tato část není lokalizována

AI Fundamentals for Nursing

Gain essential knowledge of artificial intelligence technologies and their application in nursing practice.

Enhancing Patient Care with AI

Learn how AI can optimize workflows and improve decision-making to enhance patient care.

Data Analytics and Machine Learning

Understand the role of data analytics and machine learning in clinical settings to drive better outcomes.

Ethical Considerations in AI

Explore ethical challenges and considerations when leveraging AI tools in nursing to ensure responsible use and patient well-being.

Struktura kurzu

Tato část není lokalizována

Module 1: AI for Nurses

  • 1.1 Understanding AI Basics in a Nursing Context
  • 1.2 Where AI Shows Up in Nursing
  • 1.3 AI Risks Nurses Must Recognize
  • 1.4 AI as a Nursing Support Tool

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

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

Module 3: Predictive AI and Patient Safety

  • 3.1 Understanding Predictive AI in Healthcare
  • 3.2 Evaluating Alerts and Model Performance
  • 3.3 Human-in-the-Loop Clinical Decision-Making
  • 3.4 Interdisciplinary Response and Handoff Support
  • 3.5 Bias and Equity in Predictive Models
  • 3.6 Real-World Case Studies: Predictive AI in Practice
  • 3.7 Hands-on Activity: Interpreting Predictive Alerts with ChatGPT

Module 4: Generative AI and Nursing Education

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

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

  • 5.1 Bias, Fairness, and Inclusion
  • 5.2 Informed Consent and Transparency
  • 5.3 Privacy, Security, and Confidentiality
  • 5.4 Regulatory Literacy for Nurses
  • 5.5 Professional Responsibility and Accountability

Module 6: Evaluating and Selecting AI Tools

  • 6.1 Understanding Performance Metrics
  • 6.2 Predictive Tools vs. Generative Tools
  • 6.3 Vendor Red Flags
  • 6.4 The Nurse Practitioner’s Role in Tool Selection

Module 7: Implementing AI and Leading Change on the Unit

  • 7.1 Building Buy-In
  • 7.2 Change Management Essentials
  • 7.3 Creating an AI Playbook: A Comprehensive Roadmap for Sustainable Success
  • 7.4 Monitoring Quality Improvement
  • 7.5 Error Reporting and Safety Protocols
  • 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. Capstone Project – Designing a Personal AI-in-Nursing Impact Plan

Optional Module: AI Agents for AI+ Nurses

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

Předpokládané znalosti

Tato část není lokalizována

  • Nursing Essentials: Grasp of clinical procedures and patient management principles
  • Health Tech Experience: Exposure to EHR systems and clinical equipment.
  • Data Analysis Basics: Comprehension of data evaluation and interpretation within medical contexts
  • AI/ML Basics: Awareness of core algorithms and forecasting models.
  • Analytical Decision-Making: Competence in executing data-informed healthcare choices

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