Challenges and Risks of Using Synthetic Data for AI-Driven Healthcare Applications

Eirini Karoulla; Nikolaos Matragkas; Saif Ul Islam; Gregory Epiphaniou

doi:10.3233/SHTI250677

Challenges and Risks of Using Synthetic Data for AI-Driven Healthcare Applications

Eirini Karoulla^*
, Nikolaos Matragkas
, Saif Ul Islam
, Gregory Epiphaniou

^*Corresponding author for this work

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

1 Scopus citations

Abstract

Synthetic data utilization for model training in healthcare has grown in the last 15 years. However, there are several risks associated with this approach such as, privacy issues, where the patient’s data can be identifiable; data quality, where the complexity of the real-world scenarios is not captured; and ethical concerns, concerning malicious misuse. This paper highlights the challenges of using synthetic data by outlining the risks to contribute to developing more reliable, fair, and solutions.

Original language	English
Title of host publication	Global Healthcare Transformation in the Era of Artificial Intelligence and Informatics
Editors	John Mantas, Arie Hasman, Parisis Gallos, Emmanouil Zoulias, Konstantinos Karitis
Publisher	IOS Press BV
Pages	81-85
Number of pages	5
ISBN (Electronic)	9781643686004
DOIs	https://doi.org/10.3233/SHTI250677
State	Published - 26 Jun 2025
Externally published	Yes
Event	23rd Annual International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2025 - Athens, Greece Duration: 4 Jul 2025 → 6 Jul 2025

Publication series

Name	Studies in Health Technology and Informatics
Volume	328
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	23rd Annual International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2025
Country/Territory	Greece
City	Athens
Period	4/07/25 → 6/07/25

Bibliographical note

Publisher Copyright:
© 2025 The Authors.

Keywords

EHR
healthcare
risks
Synthetic data

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

Access to Document

10.3233/SHTI250677

Cite this

Karoulla, E., Matragkas, N., Ul Islam, S., & Epiphaniou, G. (2025). Challenges and Risks of Using Synthetic Data for AI-Driven Healthcare Applications. In J. Mantas, A. Hasman, P. Gallos, E. Zoulias, & K. Karitis (Eds.), Global Healthcare Transformation in the Era of Artificial Intelligence and Informatics (pp. 81-85). (Studies in Health Technology and Informatics; Vol. 328). IOS Press BV. https://doi.org/10.3233/SHTI250677

Karoulla, Eirini ; Matragkas, Nikolaos ; Ul Islam, Saif et al. / Challenges and Risks of Using Synthetic Data for AI-Driven Healthcare Applications. Global Healthcare Transformation in the Era of Artificial Intelligence and Informatics. editor / John Mantas ; Arie Hasman ; Parisis Gallos ; Emmanouil Zoulias ; Konstantinos Karitis. IOS Press BV, 2025. pp. 81-85 (Studies in Health Technology and Informatics).

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abstract = "Synthetic data utilization for model training in healthcare has grown in the last 15 years. However, there are several risks associated with this approach such as, privacy issues, where the patient{\textquoteright}s data can be identifiable; data quality, where the complexity of the real-world scenarios is not captured; and ethical concerns, concerning malicious misuse. This paper highlights the challenges of using synthetic data by outlining the risks to contribute to developing more reliable, fair, and solutions.",

keywords = "EHR, healthcare, risks, Synthetic data",

author = "Eirini Karoulla and Nikolaos Matragkas and \{Ul Islam\}, Saif and Gregory Epiphaniou",

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year = "2025",

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doi = "10.3233/SHTI250677",

language = "English",

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Karoulla, E, Matragkas, N, Ul Islam, S & Epiphaniou, G 2025, Challenges and Risks of Using Synthetic Data for AI-Driven Healthcare Applications. in J Mantas, A Hasman, P Gallos, E Zoulias & K Karitis (eds), Global Healthcare Transformation in the Era of Artificial Intelligence and Informatics. Studies in Health Technology and Informatics, vol. 328, IOS Press BV, pp. 81-85, 23rd Annual International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2025, Athens, Greece, 4/07/25. https://doi.org/10.3233/SHTI250677

Challenges and Risks of Using Synthetic Data for AI-Driven Healthcare Applications. / Karoulla, Eirini; Matragkas, Nikolaos; Ul Islam, Saif et al.
Global Healthcare Transformation in the Era of Artificial Intelligence and Informatics. ed. / John Mantas; Arie Hasman; Parisis Gallos; Emmanouil Zoulias; Konstantinos Karitis. IOS Press BV, 2025. p. 81-85 (Studies in Health Technology and Informatics; Vol. 328).

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

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Karoulla E, Matragkas N, Ul Islam S, Epiphaniou G. Challenges and Risks of Using Synthetic Data for AI-Driven Healthcare Applications. In Mantas J, Hasman A, Gallos P, Zoulias E, Karitis K, editors, Global Healthcare Transformation in the Era of Artificial Intelligence and Informatics. IOS Press BV. 2025. p. 81-85. (Studies in Health Technology and Informatics). doi: 10.3233/SHTI250677

Challenges and Risks of Using Synthetic Data for AI-Driven Healthcare Applications

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this