04471nam 22007215 450 991074368330332120230905002536.03-031-38537-310.1007/978-3-031-38537-7(MiAaPQ)EBC30733385(Au-PeEL)EBL30733385(DE-He213)978-3-031-38537-7(PPN)272738158(EXLCZ)992815928700004120230905d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierOperations Research for Health Care in Red Zone[electronic resource] ORAHS 2022, Bergamo, Italy, July 17–22 /edited by Roberto Aringhieri, Francesca Maggioni, Ettore Lanzarone, Melanie Reuter-Oppermann, Giovanni Righini, Maria Teresa Vespucci1st ed. 2023.Cham :Springer International Publishing :Imprint: Springer,2023.1 online resource (87 pages)AIRO Springer Series,2523-7055 ;10Print version: Aringhieri, Roberto Operations Research for Health Care in Red Zone Cham : Springer International Publishing AG,c2023 9783031385360 Includes bibliographical references.A comparison of fairness metrics for health care problems -- An overview of benefits and limitations of the process model notation applied for modeling patient healthcare trajectory -- Machine Learning based Classication Models for COVID-19 Patients -- Integrating decision support tools in the COD-19 platform -- A semi-online ambulance routing and scheduling problem with complex patient-vehicle relations -- Towards a unified framework for routing and scheduling planning in an Integrated Continuous Care Unit.The book contains selected contributions from the 48th Annual Meeting of the EURO Working Group on Operational Research Applied to Health Services (ORAHS 2022) held in Bergamo, Italy, July 2022. ORAHS 2022 provided a network for researchers involved in the application of systematic and quantitative analyses to support planning and management in the health services sector, with the ultimate goal of pursuing good health and well-being. It was the ORAHS in the red zone, focused on the organization and reaction of health systems in the face of emergency situations such as the COVID pandemic. The questions addressed were, for example, how can hospitals and public authorities react to extreme scenarios by reorganizing their resources? How and to what extent do local health systems integrate hospitals to deal with a pandemic? How can Decision Support Systems for diagnosis and treatment help when battling a new virus for the first time? Contributions included a variety of methodological viewpoints (optimization, simulation, data analysis, predictive models, decision science, mathematical programming, machine learning, ...) and health services applications (hospital management, therapy calibration, analysis of statistical and epidemiological data, minimization of logistics costs, ...). This work strongly contributes to the Sustainable Development Goals (SDG) Programme.AIRO Springer Series,2523-7055 ;10Operations researchHealth services administrationMedical economicsManagement scienceMathematical optimizationMedical informaticsOperations Research and Decision TheoryHealth Care ManagementHealth EconomicsOperations Research, Management Science OptimizationHealth InformaticsOperations research.Health services administration.Medical economics.Management science.Mathematical optimization.Medical informatics.Operations Research and Decision Theory.Health Care Management.Health Economics.Operations Research, Management Science .Optimization.Health Informatics.362.18Aringhieri RobertoMiAaPQMiAaPQMiAaPQBOOK9910743683303321Operations Research for Health Care in Red Zone3565804UNINA