As Gait Analysis Lab embraces the power of data-driven healthcare, our Clinical Data Champion takes centre stage in ensuring the effective utilisation of data to enhance workflow, patient care, and advance research initiatives. Our dedicated Champion, Elyse Passmore is at the forefront of bridging the gap between clinical expertise and data management.
Data Request Process: We have implemented a streamlined data request process to facilitate access to relevant data for research and quality improvement projects. Elyse is well-versed in this process and can guide you through the steps, ensuring seamless and timely data acquisition. To request access to data for your project:
About the Gait Analysis Lab Champion Elyse Passmore: Dr Elyse Passmore is a Clinical Data Champion for the Gait Analysis Laboratory RCH and a Senior Biomedical Engineer. Elyse holds a Clinician-Scientist Fellowship from MCRI developing machine learning approaches to analysis human movement form videos and is part of the Developmental Imaging Group.
Collaboration and Support: Elyse will foster a collaborative environment, working closely with clinicians, researchers, and other stakeholders to identify data-driven opportunities for improvement. She can provide support, guidance, and mentorship to colleagues undertaking quality improvement, EMR optimisation, and research projects, ensuring the successful implementation of data-driven initiatives.
Research and Innovation: By leveraging data analytics and digital health solutions, Elyse contributes to groundbreaking research and innovation in the Gait Analysis Lab. She plays a pivotal role in identifying trends, evaluating outcomes, and driving evidence-based practices to optimise patient safety and care delivery.
Join the community of data at Gait Analysis Lab by reaching out to Elyse Passmore by email at [email protected]
The Centre for Health Analytics looks forward to helping harness the power of data to revolutionise patient care, workflow, and research. Together, we can drive innovation, improve outcomes, and shape the future of Gait Analysis Lab.