The lack of resources has driven healthcare management studies to recognise Private and Public Partnerships (PPP) as the solution in managing efficiency, effectiveness and profitability of technological innovation. Recent researchers have identified the buying model called Managed Equipment Service (MES), in which purchaser and seller share the risks of technology's management and use, as an optimal problem-solving method. The aim of this research is to analyse the potential economic financial and organisational benefits of MES introduction in healthcare, in particular for the acquisition of the diagnostic imaging technologies.The research applies the case study method. We have examined a representative Italian Local Health Authority for its dimensions, managerial characteristics and case mix offered but, especially, for its high health standards. In the study we have involved the strategic figure of radiographer in diagnostic imaging.The data has been elaborated through statistical analysis to observe the correlations. Evidence demonstrates that MES costs are lower than all the other planning and purchasing methods analysed (between 11% - 239%). When correlations between age of facilities and effectiveness of provided services is strong, MES grants the maintenance of a lower average age of technologies and a more efficient use of resources and significant margins of profitability.The emerging model of PPP is a possible solution to the current issues surrounding economic and financial sustainability of healthcare systems, considered the fewer resources and the technological progress. MES in healthcare appears to be a highly efficient way of managing innovation, in particular for diagnostic imaging technologies.

Planning and Managing of Diagnostic Imaging Technologies in Healthcare: The Introduction of Managed Equipment Service (MES) for the System’s Sustainability / Giusti, Martina; Persiani, Niccolò; Silvia, Fissi; Ricci, Renzo. - ELETTRONICO. - (2020), pp. 325-338. [10.18502/kss.v4i1.5997]

Planning and Managing of Diagnostic Imaging Technologies in Healthcare: The Introduction of Managed Equipment Service (MES) for the System’s Sustainability

Giusti, Martina
;
Persiani, Niccolò
;
Silvia, Fissi
;
2020

Abstract

The lack of resources has driven healthcare management studies to recognise Private and Public Partnerships (PPP) as the solution in managing efficiency, effectiveness and profitability of technological innovation. Recent researchers have identified the buying model called Managed Equipment Service (MES), in which purchaser and seller share the risks of technology's management and use, as an optimal problem-solving method. The aim of this research is to analyse the potential economic financial and organisational benefits of MES introduction in healthcare, in particular for the acquisition of the diagnostic imaging technologies.The research applies the case study method. We have examined a representative Italian Local Health Authority for its dimensions, managerial characteristics and case mix offered but, especially, for its high health standards. In the study we have involved the strategic figure of radiographer in diagnostic imaging.The data has been elaborated through statistical analysis to observe the correlations. Evidence demonstrates that MES costs are lower than all the other planning and purchasing methods analysed (between 11% - 239%). When correlations between age of facilities and effectiveness of provided services is strong, MES grants the maintenance of a lower average age of technologies and a more efficient use of resources and significant margins of profitability.The emerging model of PPP is a possible solution to the current issues surrounding economic and financial sustainability of healthcare systems, considered the fewer resources and the technological progress. MES in healthcare appears to be a highly efficient way of managing innovation, in particular for diagnostic imaging technologies.
2020
978-618-5036-44-7
The economies of the balkan and the eastern european countries in the changing world
325
338
Giusti, Martina; Persiani, Niccolò; Silvia, Fissi; Ricci, Renzo
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1195171
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