Sarang Hashemi | Teaching Associate
Monash University
Dr Sarang Hashemi is a digital health researcher specialising in clinical decision support, behavioural decision theory, and human decision-making. His doctoral research developed and evaluated a multidimensional model for desining CDS alerts, which defines and sequences the key building blocks of CDS alerts and shows how behavioural effects can be applied to shape those alerts around real human decision-making behaviour. His work helps digital health teams rethink alerts not simply as interface prompts, but as interventions in guiding clinical decision-making. He has published in the International Journal of Medical Informatics, collaborated with Western Health’s Division of Digital Health, and presented this work at academic and professional forums including the Pacific Asia Conference on Information Systems (PACIS), the Medication Safety and Efficiency Conference, and the Victorian Clinical Informatics Council. His doctoral thesis was nominated for the 2025 ACPHIS Best Australian Information Systems PhD Thesis Award.
Appearances:
BioTechX EU Day 2 @ 13:05
From Noise to Guidance: Rethinking Alerts in EMR Systems
Clinical decision support (CDS) alerts in EMR systems aim to support clinical decisions, yet many are viewed as noise: frequent, disruptive, and often necessary to override. In part, this is because existing CDS alert design recommendations have been shaped predominantly by principles of usability and human factors engineering, which tend to emphasise the limitations of human cognition rather than the complexities of human decision-making. This session presents a different approach: designing alerts not as expedient solutions, but as interventions to guide clinical decisions in ways better aligned with how humans actually make decisions.
Drawing on doctoral research in digital health, the session introduces a multidimensional model for designing CDS alerts with human decision-making considerations. The model defines and organises nine building blocks of CDS alerts and demonstrates how nine behavioural effects from the MINDSPACE framework for behaviour change can inform their design. Developed through design-science research and informed by several conceptual and empirical studies, including interviews with CDS alert designers and users, as well as digital health practitioners and academics, it offers a structured and behaviourally informed approach to rethinking alerts as more meaningful interventions to guide clinical decisions.
Get involved at BioTechX Europe
Created by
Terrapinn is proud to be a member of isla.
Working together to build sustainable events