Article: Competitive advantage in healthcare based on augmentation of clinical images with artificial intelligence: case study of the 'Sambias' project Journal: International Journal of Managerial and Financial Accounting (IJMFA) 2024 Vol.16 No.1 pp.1 - 16 Abstract: In the era of artificial intelligence, and particularly machine learning and deep learning models, the availability of large datasets is crucial to develop innovative and effective services, especially in the healthcare field. In this context, one essential requirement is access to verified information for contextualising/enriching the data. The SAMBIAS project analysed in this study involves the implementation of a software platform for data sharing in clinical scenarios, with the main objective of providing specific medical datasets to improve the competitiveness of the healthcare organisation from a general point of view. The platform, which is accessible via the web, provides on-demand, augmented sets of clinical situations, based on the enormous amounts of data that are collected by the health information systems of healthcare organisations. The case under investigation here is the Casa di Cura Tortorella s.p.a., Salerno, Italy. The implications of this platform are discussed in terms of more efficient performance. Inderscience Publishers - linking academia, business and industry through research

Title: Competitive advantage in healthcare based on augmentation of clinical images with artificial intelligence: case study of the 'Sambias' project

Authors: Alessandra D'Amico; Michele Di Capua; Emanuel Di Nardo; Joanna Rosak-Szyrocka; Giuseppe Tortorella; Giuseppe Festa

Addresses: Department of Radiology, Casa di Cura Tortorella S.p.a., Salerno, Italy ' Research and Development Department, Unlimited Technology S.r.l., Naples, Italy ' Research and Development Department, Unlimited Technology S.r.l., Naples, Italy ' Department of Production Engineering and Safety, Faculty of Management, University of Technology, Czestochowa, Poland ' General Management Department, Casa di Cura Tortorella S.p.a., Salerno, Italy ' Department of Economics and Statistics, University of Salerno, Italy

Abstract: In the era of artificial intelligence, and particularly machine learning and deep learning models, the availability of large datasets is crucial to develop innovative and effective services, especially in the healthcare field. In this context, one essential requirement is access to verified information for contextualising/enriching the data. The SAMBIAS project analysed in this study involves the implementation of a software platform for data sharing in clinical scenarios, with the main objective of providing specific medical datasets to improve the competitiveness of the healthcare organisation from a general point of view. The platform, which is accessible via the web, provides on-demand, augmented sets of clinical situations, based on the enormous amounts of data that are collected by the health information systems of healthcare organisations. The case under investigation here is the Casa di Cura Tortorella s.p.a., Salerno, Italy. The implications of this platform are discussed in terms of more efficient performance.

Keywords: healthcare; artificial intelligence; machine learning; deep learning; data augmentation; business process management; business process improvement.

DOI: 10.1504/IJMFA.2024.135364

International Journal of Managerial and Financial Accounting, 2024 Vol.16 No.1, pp.1 - 16

Received: 17 May 2023
Accepted: 31 Jul 2023
Published online: 06 Dec 2023 *

Title: Competitive advantage in healthcare based on augmentation of clinical images with artificial intelligence: case study of the 'Sambias' project

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