AIN

AI+ Nurse

Artificial Intelligence for Nursing Practice

→ Predictive analytics for patient deterioration and early-warning scores
→ Remote and continuous patient monitoring
→ Sepsis, fall, and risk-prediction models
→ Clinical decision support at the bedside
→ Managing alarms and reducing alert fatigue
→ Patient-monitoring AI case studies
→ Hands-On Lab: Participants interpret an early warning prediction and plan an appropriate nursing response.

→ AI-assisted triage and acuity assessment
→ Personalised, data-informed care planning
→ Medication safety and administration support
→ Patient education and communication tools
→ Chronic-disease and population-health applications
→ Chatbots and virtual assistants for patients
→ Hands-On Lab: Participants design an AI-supported care plan and patient education approach for a case.

→ Patient safety and verifying AI-generated outputs
→ Ethics, bias, and core nursing values
→ HIPAA, data privacy, and patient consent
→ Human-in-the-loop practice and accountability
→ Adopting AI confidently at the bedside
→ Change, advocacy, and the future of nursing AI
→ Hands-On Lab: Participants build a safe-adoption and advocacy plan for AI in their nursing unit.

→ Capstone project: applying the full five-day toolkit to a realistic AI in nursing practice scenario
→ Structured peer and facilitator review of each capstone deliverable
→ Post-programme competency assessment against the learning outcomes
→ Personal action plan for applying the learning in the workplace
→ Programme wrap-up, key takeaways, and
continued-development guidance
→ Capstone Presentation: Participants present their AI-Enabled Nursing Practice Capstone and receive structured feedback before certification.