An approach for generating realistic Australian synthetic healthcare data

Ibrahima Diouf; John Grimes; Mitchell J. O'Brien; Hamed Hassanzadeh; Donna Truran; Hoa Ngo; Parnesh Raniga; Michael Lawley; Denis C. Bauer; David Hansen; Sankalp Khanna; Roc Reguant

doi:10.3233/SHTI231079

An approach for generating realistic Australian synthetic healthcare data

Ibrahima Diouf^*, John Grimes, Mitchell J. O'Brien, Hamed Hassanzadeh, Donna Truran, Hoa Ngo, Parnesh Raniga, Michael Lawley, Denis C. Bauer, David Hansen, Sankalp Khanna, Roc Reguant

^*Corresponding author for this work

Applied BioSciences

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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Abstract

Healthcare data is a scarce resource and access is often cumbersome. While medical software development would benefit from real datasets, the privacy of the patients is held at a higher priority. Realistic synthetic healthcare data can fill this gap by providing a dataset for quality control while at the same time preserving the patient's anonymity and privacy. Existing methods focus on American or European patient healthcare data but none is exclusively focused on the Australian population. Australia is a highly diverse country that has a unique healthcare system. To overcome this problem, we used a popular publicly available tool, Synthea, to generate disease progressions based on the Australian population. With this approach, we were able to generate 100,000 patients following Queensland (Australia) demographics.

Original language	English
Title of host publication	MEDINFO 2023 - The Future is Accessible
Subtitle of host publication	Proceedings of the 19th World Congress on Medical and Health Informatics
Editors	Jen Bichel-Findlay, Paula Otero, Philip Scott, Elaine Huesing
Place of Publication	Amsterdam
Publisher	IOS Press
Pages	820-824
Number of pages	5
ISBN (Electronic)	9781643684574
ISBN (Print)	9781643684567
DOIs	https://doi.org/10.3233/SHTI231079
Publication status	Published - 2024
Event	19th World Congress on Medical and Health Informatics, MedInfo 2023 - Sydney, Australia Duration: 8 Jul 2023 → 12 Jul 2023

Publication series

Name	Studies in Health Technology and Informatics
Publisher	IOS Press
Volume	310
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	19th World Congress on Medical and Health Informatics, MedInfo 2023
Country/Territory	Australia
City	Sydney
Period	8/07/23 → 12/07/23

Bibliographical note

Copyright 2024 International Medical Informatics Association (IMIA) and IOS Press. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

Australia
data simulation
Synthea
Synthetic healthcare data

Access to Document

10.3233/SHTI231079Licence: CC BY-NC

Publisher version (open access)Final published version, 243 KBLicence: CC BY-NC

Cite this

Diouf, I., Grimes, J., O'Brien, M. J., Hassanzadeh, H., Truran, D., Ngo, H., Raniga, P., Lawley, M., Bauer, D. C., Hansen, D., Khanna, S., & Reguant, R. (2024). An approach for generating realistic Australian synthetic healthcare data. In J. Bichel-Findlay, P. Otero, P. Scott, & E. Huesing (Eds.), MEDINFO 2023 - The Future is Accessible: Proceedings of the 19th World Congress on Medical and Health Informatics (pp. 820-824). (Studies in Health Technology and Informatics; Vol. 310). IOS Press. https://doi.org/10.3233/SHTI231079

Diouf, Ibrahima ; Grimes, John ; O'Brien, Mitchell J. et al. / An approach for generating realistic Australian synthetic healthcare data. MEDINFO 2023 - The Future is Accessible: Proceedings of the 19th World Congress on Medical and Health Informatics. editor / Jen Bichel-Findlay ; Paula Otero ; Philip Scott ; Elaine Huesing. Amsterdam : IOS Press, 2024. pp. 820-824 (Studies in Health Technology and Informatics).

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abstract = "Healthcare data is a scarce resource and access is often cumbersome. While medical software development would benefit from real datasets, the privacy of the patients is held at a higher priority. Realistic synthetic healthcare data can fill this gap by providing a dataset for quality control while at the same time preserving the patient's anonymity and privacy. Existing methods focus on American or European patient healthcare data but none is exclusively focused on the Australian population. Australia is a highly diverse country that has a unique healthcare system. To overcome this problem, we used a popular publicly available tool, Synthea, to generate disease progressions based on the Australian population. With this approach, we were able to generate 100,000 patients following Queensland (Australia) demographics.",

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author = "Ibrahima Diouf and John Grimes and O'Brien, \{Mitchell J.\} and Hamed Hassanzadeh and Donna Truran and Hoa Ngo and Parnesh Raniga and Michael Lawley and Bauer, \{Denis C.\} and David Hansen and Sankalp Khanna and Roc Reguant",

note = "Copyright 2024 International Medical Informatics Association (IMIA) and IOS Press. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.; 19th World Congress on Medical and Health Informatics, MedInfo 2023 ; Conference date: 08-07-2023 Through 12-07-2023",

year = "2024",

doi = "10.3233/SHTI231079",

language = "English",

isbn = "9781643684567",

series = "Studies in Health Technology and Informatics",

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Diouf, I, Grimes, J, O'Brien, MJ, Hassanzadeh, H, Truran, D, Ngo, H, Raniga, P, Lawley, M, Bauer, DC, Hansen, D, Khanna, S & Reguant, R 2024, An approach for generating realistic Australian synthetic healthcare data. in J Bichel-Findlay, P Otero, P Scott & E Huesing (eds), MEDINFO 2023 - The Future is Accessible: Proceedings of the 19th World Congress on Medical and Health Informatics. Studies in Health Technology and Informatics, vol. 310, IOS Press, Amsterdam, pp. 820-824, 19th World Congress on Medical and Health Informatics, MedInfo 2023, Sydney, Australia, 8/07/23. https://doi.org/10.3233/SHTI231079

An approach for generating realistic Australian synthetic healthcare data. / Diouf, Ibrahima; Grimes, John; O'Brien, Mitchell J. et al.
MEDINFO 2023 - The Future is Accessible: Proceedings of the 19th World Congress on Medical and Health Informatics. ed. / Jen Bichel-Findlay; Paula Otero; Philip Scott; Elaine Huesing. Amsterdam: IOS Press, 2024. p. 820-824 (Studies in Health Technology and Informatics; Vol. 310).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AU - Raniga, Parnesh

AU - Lawley, Michael

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AU - Hansen, David

AU - Khanna, Sankalp

AU - Reguant, Roc

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ER -

Diouf I, Grimes J, O'Brien MJ, Hassanzadeh H, Truran D, Ngo H et al. An approach for generating realistic Australian synthetic healthcare data. In Bichel-Findlay J, Otero P, Scott P, Huesing E, editors, MEDINFO 2023 - The Future is Accessible: Proceedings of the 19th World Congress on Medical and Health Informatics. Amsterdam: IOS Press. 2024. p. 820-824. (Studies in Health Technology and Informatics). doi: 10.3233/SHTI231079

An approach for generating realistic Australian synthetic healthcare data

Abstract

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Bibliographical note

Keywords

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