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Big data and artificial intelligence for health system sustainability: The case of Veneto Region

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  • Grazia Dicuonzo
  • Francesca Donofrio
  • Antonio Fusco
  • Vittorio Dell?Atti

Abstract

This paper investigates the digitalization challenges facing the Italian healthcare system. The aim of the paper is to support healthcare organizations as they take advantage of the potential of big data and artificial intelligence (AI) to promote sustainable healthcare systems. Both the development of innovative processes in the management of health care activities and the introduction of healthcare forecasting systems are valuable resources for clinical and care activities and enable a more efficient use of inputs in essential-level care delivery. By examining an innovative project developed by the Regional Social Health Agency (ARSS) of Veneto, this study analyses the impact of big data and AI on the sustainability of a healthcare system. In order to answer the research question, we used a case study methodology. We conducted semi-structured interviews with key members of the organizational group involved in the case. The results show that the implementation of AI algorithms based on big data in healthcare both improves the interpretation and processing of data, and reduces the time frame necessary for clinical processes, having a positive effect on sustainability.

Suggested Citation

  • Grazia Dicuonzo & Francesca Donofrio & Antonio Fusco & Vittorio Dell?Atti, 2021. "Big data and artificial intelligence for health system sustainability: The case of Veneto Region," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2021(suppl. 1), pages 31-52.
    • Handle: RePEc:fan:macoma:v:html10.3280/maco2021-001-s1003
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    References listed on IDEAS

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    Cited by:

    1. Michele Galeotti & Rosa Lombardi & Paola Paoloni & Fabiana Roberto, 2022. "Big data and sustainability reports: The current approach to non-accounting data management," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2022(2 Suppl.), pages 95-116.
    2. Antonella Paolini, 2022. "Gestione integrata dei dati e performance aziendali," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2022(2), pages 5-14.
    3. Luca Ianni & Armando Della Porta & Fabrizio Barbarossa, 2022. "L?interfaccia Accounting-Marketing. Il ruolo del controller e dei sistemi informativi nella Customer Profitability Analysis," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2022(2), pages 165-190.
    4. Antonella Paolini, 2022. "Integrated data management: New perspectives for management control," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2022(2 Suppl.), pages 5-14.
    5. Francesco Badia & Fabio Donato, 2022. "Opportunities and risks in using big data to support management control systems: A multiple case study," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2022(3), pages 39-63.

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