CHP Seminar Series - Dr Fatemeh Jalavand

Title: Addressing Alert Fatigue in Healthcare: A Human-AI Teaming Approach

Zoom link: https://go.unimelb.edu.au/rpn2

Location: Seminar Room 516, Level 5, 207 Bouverie Street, Carlton

Bio: Fatemeh Jalalvand is a Postdoctoral Fellow in Data61 at CSIRO. Her research focuses on Artificial Intelligence (AI), Human-AI Teaming, Machine Learning, Optimisation, Simulation, Alert Prioritisation, and Cybersecurity, with particular emphasis on Deep Reinforcement Learning (DRL) from Human Feedback, Multi-agent DRL, and Adaptive Decision Support Systems under Uncertainty. She has published in top-tier journals and conferences including ACM Computing Surveys, Computers & Industrial Engineering, and IEEE Symposium on Security and Privacy (S&P), and her recent work explores the application of Human-AI Teaming to Alert Prioritisation in Security Operation Centres. In this presentation, Fatemeh will discuss how Human-AI Teaming can address the Alert Fatigue problem in healthcare.

Abstract: Modern healthcare organisations — including hospitals, clinics, and aged care facilities — utilise a wide range of technologies and medical devices equipped with specialised alert systems to support clinical practice and enhance patient monitoring by notifying healthcare staff when needed. However, alert fatigue arises when healthcare staff are overwhelmed by the large number of alerts generated by these systems, many of which are false or non-actionable. This can increase the likelihood of staff errors, pose serious risks to patient safety, lead to overlooked critical emergency alerts, and compromise the well-being of healthcare staff. This presentation explores how Human-AI Teaming can help mitigating alert fatigue by combining the complementary strengths of humans and AI. Through adaptive, real-time collaboration, AI can filter and prioritise clinically significant alerts while integrating feedback from healthcare staff into its decision-making. By improving prioritisation accuracy and reducing staff workload, Human-AI Teaming offers a promising pathway to safer and more effective healthcare delivery.