Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Agile Six Sigma in Healthcare

Case Study at Santobono Pediatric Hospital

Bibliographic Data

ID15465854
AuthorsGiovanni Improta (0000-0002-9485-1687, Federico II University Hospital, corresponding author), Guido Guizzi (0000-0002-3269-1307, Federico II University Hospital), Carlo Ricciardi (0000-0001-7290-6432, University of Naples Federico II), Vincenzo Giordano (0000-0002-4429-312X, Santobono Children's Hospital), Alfonso Maria Ponsiglione (0000-0003-1346-515X, University of Naples Federico II), Giuseppe Converso (0009-0007-6312-312X, Federico II University Hospital), Maria Triassi (0000-0002-9420-9571, Federico II University Hospital)
Year2020
Volume17
Issue3
Pages1052-1052
Publication date2020-02-07
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17031052
PMID32046052
OpenAlexW3004587016
LanguageEN
Citations received4
References cited36

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

Agile software development · Health care · Medical emergency · Operations management · Pediatric hospital · Political science · Six Sigma · Computer Science · Engineering · Healthcare Operations and Scheduling Optimization · Healthcare Policy and Management · Medicine · Quality and Safety in Healthcare · Pediatrics

  • Applying Lean Six Sigma to Reduce the Incidence of Unplanned Surgery Cancellation at a Large Comprehensive Tertiary Hospital in China

    Open Access•Ling-Feng Zhu, Wei‐Yang Qian et al.•INQUIRY The Journal of Health…•2020

  • A Health Technology Assessment in Maxillofacial Cancer Surgery by Using the Six Sigma Methodology

    Open Access•Carlo Ricciardi, Giovanni Dell’Aversana Orabona et al.•International Journal of…•2021

  • Lean Six Sigma Approach for Reducing Length of Hospital Stay for Patients with Femur Fracture in a University Hospital

    Open Access•Arianna Scala, Alfonso Maria Ponsiglione et al.•International Journal of…•2021

  • Custos no setor público

    Open Access•Angélica De Oliveira Pacheco, Ângela Rozane Leal De Souza•Cadernos Gestão Pública e Cidadania•2025

  • Dropouts and Broken Appointments

    Richard A Deyo, Thomas S Inui•Medical Care•1980

Citations per year0.67
Citation span2020 - 2025 (6)
Highly citedNo

Tools

Open DOISci-HubOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae