Network Graph Analysis of Hospital and Health Services Functional Structures

David Ben-Tovim; Mariusz Bajger; Viet Duong Bui; Shaowen Qin

doi:10.1007/978-3-030-95405-5_3

Network Graph Analysis of Hospital and Health Services Functional Structures

David Ben-Tovim, Mariusz Bajger, Viet Duong Bui, Shaowen Qin

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

2 Citations (Scopus)

Abstract

Hospitals and health services are complicated places that generate large quantities of data focusing on individual patient care. That care is the product of multiple interactions between patients and the many differently staffs within a hospital or health service. It is hard to use the data produced by hospitals and health services to adequately represent those interactions and use them to identify how services work in practice. We present a set of proof-of-concept studies that represent health systems as networks, analysed by contemporary network graph theory, to look for interpretable patterns of interactions that reveal modular functional structures at multiple levels within large general hospitals.

Original language	English
Title of host publication	Advanced Data Mining and Applications
Subtitle of host publication	17th International Conference, ADMA 2021 Sydney, NSW, Australia, February 2–4, 2022 Proceedings, Part I
Editors	Bohan Li, Lin Yue, Jing Jiang, Weitong Chen, Xue Li, Guodong Long, Fei Fang, Han Yu
Place of Publication	Switzerland
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	33-44
Number of pages	12
ISBN (Electronic)	9783030954055
ISBN (Print)	9783030954048
DOIs	https://doi.org/10.1007/978-3-030-95405-5_3
Publication status	Published - Feb 2022
Event	17th International Conference on Advanced Data Mining and Applications, ADMA 2021 - Sydney, Australia Duration: 2 Feb 2022 → 4 Feb 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13087 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th International Conference on Advanced Data Mining and Applications, ADMA 2021
Country/Territory	Australia
City	Sydney
Period	2/02/22 → 4/02/22

Keywords

Decision support
Graph analysis
Healthcare services provision
Modularity
Patient flow

Access to Document

10.1007/978-3-030-95405-5_3Licence: In Copyright

Cite this

Ben-Tovim, D., Bajger, M., Bui, V. D., & Qin, S. (2022). Network Graph Analysis of Hospital and Health Services Functional Structures. In B. Li, L. Yue, J. Jiang, W. Chen, X. Li, G. Long, F. Fang, & H. Yu (Eds.), Advanced Data Mining and Applications: 17th International Conference, ADMA 2021 Sydney, NSW, Australia, February 2–4, 2022 Proceedings, Part I (pp. 33-44). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13087 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-95405-5_3

Ben-Tovim, David ; Bajger, Mariusz ; Bui, Viet Duong et al. / Network Graph Analysis of Hospital and Health Services Functional Structures. Advanced Data Mining and Applications: 17th International Conference, ADMA 2021 Sydney, NSW, Australia, February 2–4, 2022 Proceedings, Part I. editor / Bohan Li ; Lin Yue ; Jing Jiang ; Weitong Chen ; Xue Li ; Guodong Long ; Fei Fang ; Han Yu. Switzerland : Springer Science and Business Media Deutschland GmbH, 2022. pp. 33-44 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Hospitals and health services are complicated places that generate large quantities of data focusing on individual patient care. That care is the product of multiple interactions between patients and the many differently staffs within a hospital or health service. It is hard to use the data produced by hospitals and health services to adequately represent those interactions and use them to identify how services work in practice. We present a set of proof-of-concept studies that represent health systems as networks, analysed by contemporary network graph theory, to look for interpretable patterns of interactions that reveal modular functional structures at multiple levels within large general hospitals.",

keywords = "Decision support, Graph analysis, Healthcare services provision, Modularity, Patient flow",

author = "David Ben-Tovim and Mariusz Bajger and Bui, {Viet Duong} and Shaowen Qin",

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Ben-Tovim, D, Bajger, M, Bui, VD & Qin, S 2022, Network Graph Analysis of Hospital and Health Services Functional Structures. in B Li, L Yue, J Jiang, W Chen, X Li, G Long, F Fang & H Yu (eds), Advanced Data Mining and Applications: 17th International Conference, ADMA 2021 Sydney, NSW, Australia, February 2–4, 2022 Proceedings, Part I. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13087 LNAI, Springer Science and Business Media Deutschland GmbH, Switzerland, pp. 33-44, 17th International Conference on Advanced Data Mining and Applications, ADMA 2021, Sydney, Australia, 2/02/22. https://doi.org/10.1007/978-3-030-95405-5_3

Network Graph Analysis of Hospital and Health Services Functional Structures. / Ben-Tovim, David; Bajger, Mariusz; Bui, Viet Duong et al.
Advanced Data Mining and Applications: 17th International Conference, ADMA 2021 Sydney, NSW, Australia, February 2–4, 2022 Proceedings, Part I. ed. / Bohan Li; Lin Yue; Jing Jiang; Weitong Chen; Xue Li; Guodong Long; Fei Fang; Han Yu. Switzerland: Springer Science and Business Media Deutschland GmbH, 2022. p. 33-44 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13087 LNAI).

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

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AB - Hospitals and health services are complicated places that generate large quantities of data focusing on individual patient care. That care is the product of multiple interactions between patients and the many differently staffs within a hospital or health service. It is hard to use the data produced by hospitals and health services to adequately represent those interactions and use them to identify how services work in practice. We present a set of proof-of-concept studies that represent health systems as networks, analysed by contemporary network graph theory, to look for interpretable patterns of interactions that reveal modular functional structures at multiple levels within large general hospitals.

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Ben-Tovim D, Bajger M, Bui VD, Qin S. Network Graph Analysis of Hospital and Health Services Functional Structures. In Li B, Yue L, Jiang J, Chen W, Li X, Long G, Fang F, Yu H, editors, Advanced Data Mining and Applications: 17th International Conference, ADMA 2021 Sydney, NSW, Australia, February 2–4, 2022 Proceedings, Part I. Switzerland: Springer Science and Business Media Deutschland GmbH. 2022. p. 33-44. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-95405-5_3

Network Graph Analysis of Hospital and Health Services Functional Structures

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