AOA-OMED Research Posters 2024-OMED24-POSTERS

Video Transcription

Video Summary

Ethan Bond, a medical student, presented on assessing fall risk using sway measures. The study focuses on predicting falls in adults over 65, with a diverse and large sample, addressing past studies' limitations. Using a force plate, patients' postural sway is measured within two minutes without disrupting clinical flow. Data from 1,263 subjects has been collected, aimed at developing a machine learning algorithm to predict falls. The study integrates social determinants of health, aligning with osteopathic principles. The goal is to create a fall risk scoring tool for early intervention, although challenges like equipment cost remain.

Keywords

fall risk assessment

postural sway

machine learning

osteopathic principles

elderly adults