Predicting and Characterizing Legal Claims of Hospitals with Computational Intelligence: the Legal and Ethical Implications

Chiara Gallese; Caro Fuchs; Simone G. Riva; Emanuela Foglia; Fabrizio Schettini; Lucrezia Ferrario; Elena Falletti; Marco S. Nobile

doi:10.1109/CIBCB55180.2022.9863033

Predicting and Characterizing Legal Claims of Hospitals with Computational Intelligence: the Legal and Ethical Implications

Chiara Gallese, Caro Fuchs, Simone G. Riva, Emanuela Foglia, Fabrizio Schettini, Lucrezia Ferrario, Elena Falletti, Marco S. Nobile

JADS Research

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

Samenvatting

In this paper we propose a fuzzy logic-based approach to analyze UK National Health Service (NHS) public administrative data related to pre-and post-pandemic claims filed by patients, analyzing the legal and ethical issues connected to the use of Artificial Intelligence systems, including our own, to take critical decisions having a significant impact on patients, such as employing computational intelligence to justify the management choices related to Intensive Care Unit (ICU) bed allocation. Differently from previous papers, in this work we follow an unsupervised approach and, specifically, we perform an analysis of UK hospitals by means of a computational intelligence algorithm integrating Fuzzy C-Means and swarm intelligence. The dataset that we analyse allows us to compare pre-and post-pandemic data, to analyze the ethical and legal challenges of the use of computational intelligence for critical decision-making in the health care field.

Originele taal-2	Engels
Titel	2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022
Uitgeverij	Institute of Electrical and Electronics Engineers
Aantal pagina's	9
ISBN van elektronische versie	978-1-6654-8462-6
DOI's	https://doi.org/10.1109/CIBCB55180.2022.9863033
Status	Gepubliceerd - 26 aug. 2022
Evenement	2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022 - Ottawa, Canada Duur: 15 aug. 2022 → 17 aug. 2022

Congres

Congres	2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022
Land/Regio	Canada
Stad	Ottawa
Periode	15/08/22 → 17/08/22

Bibliografische nota

Publisher Copyright:
© 2022 IEEE.

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10.1109/CIBCB55180.2022.9863033

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Gallese, C., Fuchs, C., Riva, S. G., Foglia, E., Schettini, F., Ferrario, L., Falletti, E., & Nobile, M. S. (2022). Predicting and Characterizing Legal Claims of Hospitals with Computational Intelligence: the Legal and Ethical Implications. In 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022 Artikel 9863033 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CIBCB55180.2022.9863033

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title = "Predicting and Characterizing Legal Claims of Hospitals with Computational Intelligence: the Legal and Ethical Implications",

abstract = "In this paper we propose a fuzzy logic-based approach to analyze UK National Health Service (NHS) public administrative data related to pre-and post-pandemic claims filed by patients, analyzing the legal and ethical issues connected to the use of Artificial Intelligence systems, including our own, to take critical decisions having a significant impact on patients, such as employing computational intelligence to justify the management choices related to Intensive Care Unit (ICU) bed allocation. Differently from previous papers, in this work we follow an unsupervised approach and, specifically, we perform an analysis of UK hospitals by means of a computational intelligence algorithm integrating Fuzzy C-Means and swarm intelligence. The dataset that we analyse allows us to compare pre-and post-pandemic data, to analyze the ethical and legal challenges of the use of computational intelligence for critical decision-making in the health care field.",

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author = "Chiara Gallese and Caro Fuchs and Riva, {Simone G.} and Emanuela Foglia and Fabrizio Schettini and Lucrezia Ferrario and Elena Falletti and Nobile, {Marco S.}",

note = "Funding Information: This article has been funded by the SATURDAI project, Carlo Cattaneo University LIUC, Castellanza (VA), Italy. ; 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022 ; Conference date: 15-08-2022 Through 17-08-2022",

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doi = "10.1109/CIBCB55180.2022.9863033",

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Gallese, C , Fuchs, C, Riva, SG, Foglia, E, Schettini, F, Ferrario, L, Falletti, E & Nobile, MS 2022, Predicting and Characterizing Legal Claims of Hospitals with Computational Intelligence: the Legal and Ethical Implications. in 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022., 9863033, Institute of Electrical and Electronics Engineers, 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022, Ottawa, Ontario, Canada, 15/08/22. https://doi.org/10.1109/CIBCB55180.2022.9863033

Predicting and Characterizing Legal Claims of Hospitals with Computational Intelligence: the Legal and Ethical Implications. / Gallese, Chiara ; Fuchs, Caro; Riva, Simone G. et al.
2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022. Institute of Electrical and Electronics Engineers, 2022. 9863033.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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T2 - 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022

AU - Gallese, Chiara

AU - Fuchs, Caro

AU - Riva, Simone G.

AU - Foglia, Emanuela

AU - Schettini, Fabrizio

AU - Ferrario, Lucrezia

AU - Falletti, Elena

AU - Nobile, Marco S.

N1 - Funding Information: This article has been funded by the SATURDAI project, Carlo Cattaneo University LIUC, Castellanza (VA), Italy.

PY - 2022/8/26

Y1 - 2022/8/26

N2 - In this paper we propose a fuzzy logic-based approach to analyze UK National Health Service (NHS) public administrative data related to pre-and post-pandemic claims filed by patients, analyzing the legal and ethical issues connected to the use of Artificial Intelligence systems, including our own, to take critical decisions having a significant impact on patients, such as employing computational intelligence to justify the management choices related to Intensive Care Unit (ICU) bed allocation. Differently from previous papers, in this work we follow an unsupervised approach and, specifically, we perform an analysis of UK hospitals by means of a computational intelligence algorithm integrating Fuzzy C-Means and swarm intelligence. The dataset that we analyse allows us to compare pre-and post-pandemic data, to analyze the ethical and legal challenges of the use of computational intelligence for critical decision-making in the health care field.

AB - In this paper we propose a fuzzy logic-based approach to analyze UK National Health Service (NHS) public administrative data related to pre-and post-pandemic claims filed by patients, analyzing the legal and ethical issues connected to the use of Artificial Intelligence systems, including our own, to take critical decisions having a significant impact on patients, such as employing computational intelligence to justify the management choices related to Intensive Care Unit (ICU) bed allocation. Differently from previous papers, in this work we follow an unsupervised approach and, specifically, we perform an analysis of UK hospitals by means of a computational intelligence algorithm integrating Fuzzy C-Means and swarm intelligence. The dataset that we analyse allows us to compare pre-and post-pandemic data, to analyze the ethical and legal challenges of the use of computational intelligence for critical decision-making in the health care field.

KW - AI and Law

KW - AI Ethics

KW - Computational Intelligence

KW - Covid-19

KW - Fuzzy Logic

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M3 - Conference contribution

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BT - 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022

PB - Institute of Electrical and Electronics Engineers

Y2 - 15 August 2022 through 17 August 2022

ER -

Gallese C , Fuchs C, Riva SG, Foglia E, Schettini F, Ferrario L et al. Predicting and Characterizing Legal Claims of Hospitals with Computational Intelligence: the Legal and Ethical Implications. In 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022. Institute of Electrical and Electronics Engineers. 2022. 9863033 doi: 10.1109/CIBCB55180.2022.9863033

Predicting and Characterizing Legal Claims of Hospitals with Computational Intelligence: the Legal and Ethical Implications

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