000808307 000__ 04863cam\a2200529Ii\4500 000808307 001__ 808307 000808307 005__ 20230306143958.0 000808307 006__ m\\\\\o\\d\\\\\\\\ 000808307 007__ cr\cn\nnnunnun 000808307 008__ 180130s2018\\\\sz\\\\\\o\\\\\100\0\eng\d 000808307 020__ $$a9783319661469$$q(electronic book) 000808307 020__ $$a3319661469$$q(electronic book) 000808307 020__ $$z9783319661452 000808307 035__ $$aSP(OCoLC)on1020790487 000808307 035__ $$aSP(OCoLC)1020790487 000808307 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dGW5XE$$dN$T$$dEBLCP 000808307 049__ $$aISEA 000808307 050_4 $$aRA393 000808307 08204 $$a362.1068$$223 000808307 1112_ $$aInternational Conference on Health Care Systems Engineering$$d(2017 :$$cFlorence, Italy) 000808307 24510 $$aHealth care systems engineering :$$bHCSE, Florence, Italy, May 2017 /$$cPaola Cappanera, Jingshan Li, Andrea Matta, Evren Sahin, Nico J. Vandaele, Filippo Visintin (eds.). 000808307 264_1 $$aCham, Switzerland :$$bSpringer,$$c2018. 000808307 300__ $$a1 online resource. 000808307 336__ $$atext$$btxt$$2rdacontent 000808307 337__ $$acomputer$$bc$$2rdamedia 000808307 338__ $$aonline resource$$bcr$$2rdacarrier 000808307 4901_ $$aSpringer proceedings in mathematics & statistics,$$x2194-1009 ;$$vvolume 210 000808307 5050_ $$aIntro; Foreword Proceedings HCSE 2017; Preface; Contents; Contributors; Regular Contributions; 1 How to Protect a Hospital Against Cyber Attacks; Abstract; 1 Introduction; 2 The Cyber Attack Sources; 2.1 Hacktivists; 2.2 Terrorists; 2.3 Criminals or State Sponsored Hackers; 3 The Cyber Attack Approach; 3.1 The Information System Mapping as a Tool; 3.2 The Critical Assets; 3.3 The Critical Asset Attractiveness; 3.4 The Threat Scenarios; 4 The Scenario Assessment with the Information System Mapping; 4.1 The Strongly Connected Components of the Information System; 4.2 The K Partitioning Problem 000808307 5058_ $$a4.3 Feedback of Partitioning by Scenario5 Conclusion; References; Analytical Approaches to Operating Room Management; 1 Introduction; 2 Surgical Case Length Prediction; 3 Improving Operational Efficiency of the Perioperative Process; 4 Post-Anesthesia Care Unit Scheduling; 5 Discussion; References; A New Decomposition Approach for the Home Health Care Problem; 1 Introduction; 2 Problem Statement and Related Work; 3 Methodology; 3.1 Stage 1: Route First; 3.2 Stage 2: Solving the Assignment Problem; 3.3 Obtaining the Operational Routes; 4 Data Generation and Preliminary Experiments 000808307 5058_ $$a5 Conclusion and PerspectivesReferences; 4 Strategic Operations Management in Healthcare: A Reference Model for Cardiac Rehabilitation; Abstract; 1 Introduction; 2 Methodology; 3 Literature Review and Definition of the Theoretical Model; 3.1 Internal Factors; 3.2 External Factors; 4 Results from the Case Study; 5 Towards a Reference Model for Strategic Operations Management in Healthcare; 6 Conclusion; Acknowledgements; References; Mining the Patient Flow Through an Emergency Department to Deal with Overcrowding; 1 Introduction; 2 A Case Study; 2.1 Patient Population 000808307 5058_ $$a2.2 Retrospective Analysis3 Process Modelling; 3.1 Preprocessing; 3.2 Process Discovery; 3.3 Patient Clustering; 4 Conclusions; References; A Location Problem for Medically Under-Served Areas in Korea; 1 Introduction; 2 Problem Description; 2.1 Operational Definitions for MUA; 2.2 Location Model; 3 Case: MUA Support Program in Korea for Obstetrics Care; 3.1 Case Illustration; 3.2 Results; 4 Conclusion; References; A Choice Model for Estimating Realized Accessibility: Case Study for Obstetrics Care in Korea; 1 Introduction; 2 Discrete Choice Model 000808307 5058_ $$a3 Choice Model for Obstetrics Patients in Korea3.1 Model Components; 3.2 Data; 4 Result; 5 Conclusion; References; Handling Time-Related Demands in the Home Care Nurse-to-Patient Assignment Problem with the Implementor-Adversarial Approach; 1 Introduction; 1.1 Related Works; 2 Nurse-to-Patient Assignment Problem; 3 The Robust Optimization Approach; 3.1 Uncertainty Set; 3.2 Robust Model; 3.3 Implementor-Adversarial Algorithm; 4 Computational Tests and Results; 5 Conclusions; References; A Cardinality-Constrained Robust Approach for the Ambulance Location and Dispatching Problem 000808307 506__ $$aAccess limited to authorized users. 000808307 588__ $$aOnline resource; title from PDF title page (viewed February 2, 2018) 000808307 650_0 $$aHealth services administration$$vCongresses. 000808307 650_0 $$aMedical informatics$$vCongresses. 000808307 7001_ $$aCappanera, Paola,$$eeditor. 000808307 7001_ $$aLi, Jingshan,$$cDr.,$$eeditor. 000808307 7001_ $$aMatta, Andrea,$$eeditor. 000808307 7001_ $$aSahin, Evren,$$eeditor. 000808307 7001_ $$aVandaele, Nico J.,$$eeditor 000808307 7001_ $$aVisintin, Filippo,$$eeditor. 000808307 830_0 $$aSpringer proceedings in mathematics & statistics ;$$vv. 210. 000808307 852__ $$bebk 000808307 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-66146-9$$zOnline Access$$91397441.1 000808307 909CO $$ooai:library.usi.edu:808307$$pGLOBAL_SET 000808307 980__ $$aEBOOK 000808307 980__ $$aBIB 000808307 982__ $$aEbook 000808307 983__ $$aOnline 000808307 994__ $$a92$$bISE