Agile Six Sigma in Healthcare: Case Study at Santobono Pediatric Hospital

Giovanni Improta, Guido Guizzi, Carlo Ricciardi, Vincenzo Giordano, Alfonso Maria Ponsiglione, Giuseppe Converso and Maria Triassi
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Giovanni Improta: Department of Public Health, University Hospital of Naples Federico II, 80131 Naples, Italy
Guido Guizzi: Materials and Production Engineering, Department of Chemical, University of Naples “Federico II”, 80125 Naples, Italy
Carlo Ricciardi: Department of Advanced Biomedical Sciences, University of Naples “Federico II”, 80131 Naples, Italy
Vincenzo Giordano: AORN “Santobono-Pausillipon”, 80132 Naples, Italy
Alfonso Maria Ponsiglione: Department of Electrical Engineering and Information Technology (DIETI), University of Naples “Federico II”, 80125 Naples, Italy
Giuseppe Converso: Materials and Production Engineering, Department of Chemical, University of Naples “Federico II”, 80125 Naples, Italy
Maria Triassi: Department of Public Health, University Hospital of Naples Federico II, 80131 Naples, Italy

IJERPH, 2020, vol. 17, issue 3, 1-17

Abstract: Healthcare is one of the most complex systems to manage. In recent years, the control of processes and the modelling of public administrations have been considered some of the main areas of interest in management. In particular, one of the most problematic issues is the management of waiting lists and the consequent absenteeism of patients. Patient no-shows imply a loss of time and resources, and in this paper, the strategy of overbooking is analysed as a solution. Here, a real waiting list process is simulated with discrete event simulation (DES) software, and the activities performed by hospital staff are reproduced. The methodology employed combines agile manufacturing and Six Sigma, focusing on a paediatric public hospital pavilion. Different scenarios show that the overbooking strategy is effective in ensuring fairness of access to services. Indeed, all patients respect the times dictated by the waiting list, without “favouritism”, which is guaranteed by the logic of replacement. In a comparison between a real sample of bookings and a simulated sample designed to improve no-shows, no statistically significant difference is found. This model will allow health managers to provide patients with faster service and to better manage their resources.

Keywords: agile; DMAIC; six sigma; modelling and simulation (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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