a $13.7 million project to unlock Digital health data on debilitating diseases It may reduce hospitalizations, manage complications, and reduce healthcare costs.
An initiative led by the University of Queensland $6 million fromMedical Research Future Fund (MRFF) National Critical Research Infrastructure Plan Leverage data to find solutions to better manage situations such as: Diabetes mellitus, Rheumatoid arthritis and osteoarthritis.
Associate Professor Claire Sullivan of UQ Queensland Digital Health Center (QDHeC) and her team The National Infrastructure for Federated Learning in Digital Health (NINA) project will enable researchers to use machine learning to access siled information about debilitating chronic diseases.
Sullivan said Lack of access to digital health information hampered medical research. The project will provide a digital infrastructure to help fight chronic disease.
As an endocrinologist, I have seen the impact of diabetes on Royal Brisbane and Women’s Hospital patients and their families.
To better manage this and other chronic diseases on a global scale, we need to harness the power of digital solutions within our reach.
Australia has excellent digital health records, but the data is siled across the health system, making it difficult for talented researchers to access millions of records on treatment modalities and trends in serious chronic diseases. can not. “
Dr. Claire Sullivan, Associate Professor, University of Queensland
of The NINA project has received an additional $7.7 million from UQ, Monash and Macquarie Universities and the Queensland Cyber Infrastructure Foundation (QCIF).
Mr Sullivan said Five-year effort This is a new approach to addressing global problems, A system that builds a nationwide data network without compromising privacy or security.
“Instead of combining different datasets to enable machine learning centrally, this project will bring machine learning to the data.” she Said.
“NINA prepares and harmonizes data to global standards that protect individual privacy and enable researchers to advance their research using machine learning. “
Dr. Sullivan said chronic conditions like diabetes have a dramatic impact on people’s quality of life and a huge financial burden, making it imperative to address them.
“This research lays the groundwork for a digital health revolution that will enable researchers to accelerate learning and rapidly apply research findings to clinical practice,” she said.
“QDHeC works with 23 Australian and global partners to co-designed NINA’s conceptual framework, speed up We need to translate and deploy this collaborative data model on a national scale to ensure its success. ”
sauce:
University of Queensland
