Physicians’ Dual practice (PDP), the simultaneous engagement in both public and private healthcare services, is a widespread phenomenon across most health systems (World Health Organization, 2024). This dual engagement presents significant challenges for public institutions, particularly in balancing public healthcare targets with the physicians’ financial and professional incentives. Absenteeism, misallocation of public resources, patient diversion to private practice, and prolonged public waiting times are among the main adverse consequences of PDP (Socha & Bech, 2011). Nonetheless, to mitigate the risk of physician brain drain, most countries find it necessary to permit dual practice (García-Prado & González, 2011). Managing the positive and negative impacts of PDP is a complex, multi-level challenge involving society, organizations, and individuals. The existing literature on PDP remains limited, primarily focusing on policymakers’ decisions or physicians’ drivers. However, hospital managers serve as a critical interface between policy decisions and physicians’ behaviors, making their role essential in the hospital’s organizational system for effectively managing PDP. Addressing the complexities of PDP requires innovative approaches to strategic business model planning for healthcare organizations. To this aim, public hospital managers can leverage Artificial Intelligence (AI) to optimize processes, enhance service delivery, and mitigate PDP-related challenges to healthcare efficiency and equity.

Calabrese, A., Costa, R., Di Pillo, F., Schiaroli, V., Sedda, S., Tiburzi, L. (2025). Integrating the business model concept for the development of physicians’ dual practice in public healthcare delivery systems. In Proceedings IFKAD 2025. Napoli : Institute of knowledge asset management (IKAM).

Integrating the business model concept for the development of physicians’ dual practice in public healthcare delivery systems

Armando Calabrese;Roberta Costa;Francesca Di Pillo;Valerio Schiaroli;Simona Sedda;Luigi Tiburzi
2025-01-01

Abstract

Physicians’ Dual practice (PDP), the simultaneous engagement in both public and private healthcare services, is a widespread phenomenon across most health systems (World Health Organization, 2024). This dual engagement presents significant challenges for public institutions, particularly in balancing public healthcare targets with the physicians’ financial and professional incentives. Absenteeism, misallocation of public resources, patient diversion to private practice, and prolonged public waiting times are among the main adverse consequences of PDP (Socha & Bech, 2011). Nonetheless, to mitigate the risk of physician brain drain, most countries find it necessary to permit dual practice (García-Prado & González, 2011). Managing the positive and negative impacts of PDP is a complex, multi-level challenge involving society, organizations, and individuals. The existing literature on PDP remains limited, primarily focusing on policymakers’ decisions or physicians’ drivers. However, hospital managers serve as a critical interface between policy decisions and physicians’ behaviors, making their role essential in the hospital’s organizational system for effectively managing PDP. Addressing the complexities of PDP requires innovative approaches to strategic business model planning for healthcare organizations. To this aim, public hospital managers can leverage Artificial Intelligence (AI) to optimize processes, enhance service delivery, and mitigate PDP-related challenges to healthcare efficiency and equity.
20th International Forum on Knowledge Asset Dynamics (IFKAD 2025)
Naples, Italy
2025
20
Rilevanza internazionale
2025
Settore IEGE-01/A - Ingegneria economico-gestionale
English
Physicians’ Dual Practice; Strategic Business Model Planning; Public Hospital; Healthcare Management; Artificial Intelligence
Intervento a convegno
Calabrese, A., Costa, R., Di Pillo, F., Schiaroli, V., Sedda, S., Tiburzi, L. (2025). Integrating the business model concept for the development of physicians’ dual practice in public healthcare delivery systems. In Proceedings IFKAD 2025. Napoli : Institute of knowledge asset management (IKAM).
Calabrese, A; Costa, R; Di Pillo, F; Schiaroli, V; Sedda, S; Tiburzi, L
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/443385
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