
Filip Reierson
Data Scientist
MOA
Filip is a Data Scientist at MOA Benchmarking with a formal background in statistics and actuarial science. Over the past five years he has worked extensively with aged care quality indicator data, developing analytical methods to better understand risk and variation in care outcomes. His work focuses on translating complex statistical models into practical tools that help providers identify emerging risks, target interventions, and use data more effectively to support care quality and regulatory reporting.
SESSIONS
Day 1
9:40
Prediction of quality indicators in residential aged care at the individual level
Learn how predictive modelling using large-scale benchmarking data can identify residents at higher risk of falls, pressure injuries, unplanned weight loss, and functional decline.
Understand how individual-level risk prediction can support earlier intervention, inform care planning, and help providers prioritise preventative strategies while recognising current data and modelling limitations.
Filip Reierson, Data Scientist, Evaran