People RDC framework for advanced analytics for national healthcare research infrastructure

Armstrong, N; Bharathy, G; Buchorn, K; Mehta, D; Mengersen, K; Papaioannou, A; Perrin, D; Tanaka, E

People RDC framework for advanced analytics for national healthcare research infrastructure

Armstrong, N Bharathy, G

Buchorn, K Mehta, D Mengersen, K Papaioannou, A Perrin, D Tanaka, E

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Publisher:: Zenodo
Publication Type:: Report
Citation:: 2024
Issue Date:: 2024-09-24

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Field	Value	Language
dc.contributor.author	Armstrong, N
dc.contributor.author	Bharathy, G https://orcid.org/0000-0001-8384-9509
dc.contributor.author	Buchorn, K
dc.contributor.author	Mehta, D
dc.contributor.author	Mengersen, K
dc.contributor.author	Papaioannou, A
dc.contributor.author	Perrin, D
dc.contributor.author	Tanaka, E
dc.date.accessioned	2024-10-07T02:15:26Z
dc.date.available	2024-10-07T02:15:26Z
dc.date.issued	2024-09-24
dc.identifier.citation	2024
dc.identifier.uri	http://hdl.handle.net/10453/181203
dc.description.abstract	This document reports the findings of a program of work undertaken to develop a national infrastructure framework for the support of advanced analytics for healthcare research. The Australian Research Data Commons (ARDC), in collaboration with the Australian Data Science Network (ADSN), consulted with stakeholders to identify the needs, aspirations and challenges of advanced analytics in healthcare. Based on the synthesis of findings, the Framework for Advanced Analytics National Infrastructure in Healthcare Research was developed, and key recommendations were proposed to address identified gaps and needs in Australia's advanced health analytics infrastructure. The recommendations are aimed at creating an Australian Harmonized Approach (AHA) to health data analytics research infrastructure. A pathfinder project (targeted proof of concept / demonstrator) was carried out in parallel to explore and implement specific federated learning, as implementaon challenges also needed to be explored and a federated learning network needed to be built. Read the report. Armstrong, N. J., Bharathy, G. K., Buchhorn, K., Mehta, D., Mengersen, K., Papaioannou, A., Perrin, D., & Tanaka, E. (2024). People RDC framework for advanced analytics for national healthcare research infrastructure. Zenodo. https://doi.org/10.5281/zenodo.13831386
dc.format	Zenodo
dc.language	en
dc.publisher	Zenodo
dc.relation.isbasedon	10.5281/zenodo.13831386
dc.rights	info:eu-repo/semantics/openAccess
dc.title	People RDC framework for advanced analytics for national healthcare research infrastructure
dc.type	Report
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.rights.license	This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
dc.date.updated	2024-10-07T02:15:13Z
pubs.commissioning-body	Australian Research Data Commons (ARDC), NCRIS
pubs.confidential	false
pubs.place-of-publication	Australian Data Science Network (ADSN) and Australian Research Data Comons (ARDC)
pubs.publication-status	Published online
dc.location	Australian Data Science Network (ADSN) and Australian Research Data Comons (ARDC)

Abstract:

This document reports the findings of a program of work undertaken to develop a national infrastructure framework for the support of advanced analytics for healthcare research. The Australian Research Data Commons (ARDC), in collaboration with the Australian Data Science Network (ADSN), consulted with stakeholders to identify the needs, aspirations and challenges of advanced analytics in healthcare. Based on the synthesis of findings, the Framework for Advanced Analytics National Infrastructure in Healthcare Research was developed, and key recommendations were proposed to address identified gaps and needs in Australia's advanced health analytics infrastructure. The recommendations are aimed at creating an Australian Harmonized Approach (AHA) to health data analytics research infrastructure. A pathfinder project (targeted proof of concept / demonstrator) was carried out in parallel to explore and implement specific federated learning, as implementaon challenges also needed to be explored and a federated learning network needed to be built. Read the report. Armstrong, N. J., Bharathy, G. K., Buchhorn, K., Mehta, D., Mengersen, K., Papaioannou, A., Perrin, D., & Tanaka, E. (2024). People RDC framework for advanced analytics for national healthcare research infrastructure. Zenodo. https://doi.org/10.5281/zenodo.13831386

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http://hdl.handle.net/10453/181203