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Defensive medicine, liability insurance and malpractice litigation in an evolutionary model

Articolo
Data di Pubblicazione:
2019
Citazione:
Defensive medicine, liability insurance and malpractice litigation in an evolutionary model / Antoci, Angelo; Maccioni, Alessandro Fiori; Galeotti, Marcello; Russu, Paolo. - In: NONLINEAR ANALYSIS: REAL WORLD APPLICATIONS. - ISSN 1468-1218. - 47:(2019), pp. 414-435. [10.1016/j.nonrwa.2018.08.012]
Abstract:
We analyse the relations between defensive medicine, medical malpractice insurance and litigious behaviours, by an evolutionary game between physicians and patients. When medical treatment fails, patients may suit the physician and seek compensation. Conversely, physicians may prevent negligence charges by practising defensive medicine or by buying medical malpractice insurance. The latter choice transfers the risk of litigation from the physician to the insurer. By studying the population dynamics, we intend to describe how clinical and legal risks can shape the interactions between healthcare providers and patients, and how this can affect the diffusion and the price of medical malpractice insurance.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Clinical risk; Defensive medicine; Evolutionary game; Insurance; Malpractice; Analysis; Engineering (all); Economics, Econometrics and Finance (all)2001 Economics, Econometrics and Finance (miscellaneous); Computational Mathematics; Applied Mathematics
Elenco autori:
Antoci, Angelo; Maccioni, Alessandro Fiori; Galeotti, Marcello; Russu, Paolo
Autori di Ateneo:
ANTOCI Angelo
RUSSU Paolo
Link alla scheda completa:
https://iris.uniss.it/handle/11388/218937
Link al Full Text:
https://iris.uniss.it//retrieve/handle/11388/218937/244976/NARWA_AFGR_rev.pdf
Pubblicato in:
NONLINEAR ANALYSIS: REAL WORLD APPLICATIONS
Journal
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https://www.sciencedirect.com/science/article/pii/S1468121818312616?pes=vor
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