Explore how healthcare organizations are using big data, advanced analytics, and artificial intelligence to improve clinical decision-making, patient safety, and operational performance. This session features practical examples of AI model development, predictive monitoring, workflow optimization, and data-driven quality improvement, demonstrating how high-quality data and intelligent analytics can support earlier intervention, streamline care delivery, and enhance patient outcomes. Together, these presentations show how turning data into actionable insights is transforming healthcare at both the bedside and system level.
Presentation titles:
- Validation of acute coronary syndrome ICD codes for clinical AI model development
- Turning ED data and patient feedback into faster, clearer emergency care: A standardized model with sustained NPS improvement
- AI patient deterioration prediction: Revolutionized clinical monitoring to enhance patient outcome
- Pre-MRI safety screening for implantable medical devices: Implementation of a data analytics dashboard to enhance workflow efficiency
- Invisible interfaces: Eliminating the hospital software training tax through AI-driven natural language navigation
- CHESS-Osteoporosis: A multi-centre validation trial” a deep-learning artificial intelligence system for opportunistic osteoporosis screening using chest X-Rays