Title: Exploring the impact of artificial intelligence based education on student nurses bedside history taking abilities

Abstract:

This project seeks to address the primary need of improving the diagnostic skills of student nurses. To do so, an artificial intelligence (AI) guided interview and differential diagnosis app was developed to provide targeted training. The use of this AI-driven app is expected to reduce the rate of diagnostic errors among student nurses.

Audience Take Away:

•    Apply AI applications to solve common differential diagnoses at the bedside.
•    Compare standard Jarvis checklist to AI app prompt pedagogy in learning history taking.
•    Critique changing “how its always been” regarding teaching student nurses how to conduct a bedside interview including speed to proficiency and accuracy.

Biography:

Artificial Intelligence (NLP) on quality assurance of student learning and employee health. 25 years of clinical, academic, and management experience ensuring medically necessary and evidence-based care. Leading nursing in the USA, Singapore, China (Hong Kong SAR), and the Middle East. Current research is implementing Artificial Intelligence to measure BSN students clinical competency and readiness for practice.