LEADER 00962nam0-22003011i-450- 001 990007053450403321 005 20020301 035 $a000705345 035 $aFED01000705345 035 $a(Aleph)000705345FED01 035 $a000705345 100 $a20020301d1960----km-y0itay50------ba 101 0 $aeng 102 $aUS 105 $ay-------001yy 200 1 $aSoviet statistics of physical output of industrial commodities$etheir compilation and quality$fGregory Grossman 210 $aPrinceton (New Jersey)$cPrinceton University Press$d1960 215 $a151 p.$d24 cm 225 1 $aGeneral series$fNational Bureau of Economic Research$v69 676 $a338$v20$zita 700 1$aGrossman,$bGregory$032347 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990007053450403321 952 $aXV C 69(69)$b62420$fFGBC 959 $aFGBC 996 $aSoviet statistics of physical output of industrial commodities$9708485 997 $aUNINA LEADER 05841nam 2200685 a 450 001 9910437863703321 005 20200520144314.0 010 $a1-283-94502-9 010 $a1-4614-5094-2 024 7 $a10.1007/978-1-4614-5094-8 035 $a(CKB)2670000000315895 035 $a(EBL)1030841 035 $a(OCoLC)827616958 035 $a(SSID)ssj0000879803 035 $a(PQKBManifestationID)11532248 035 $a(PQKBTitleCode)TC0000879803 035 $a(PQKBWorkID)10853452 035 $a(PQKB)10577572 035 $a(DE-He213)978-1-4614-5094-8 035 $a(MiAaPQ)EBC1030841 035 $a(PPN)168302020 035 $a(EXLCZ)992670000000315895 100 $a20121107d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aSystems analysis tools for better health care delivery /$fPanos M. Pardalos ... [et al.], editors 205 $a1st ed. 2013. 210 $aNew York $cSpringer$d2013 215 $a1 online resource (187 p.) 225 0$aSpringer optimization and its applications,$x1931-6828 ;$vv. 74 300 $aDescription based upon print version of record. 311 $a1-4899-9952-3 311 $a1-4614-5093-4 320 $aIncludes bibliographical references. 327 $aSystems Analysis Tools for Better Health Care Delivery; Preface; Contents; Optimization Methods for Large-Scale Radiotherapy Problems; 1 Introduction; 2 Total Marrow Irradiation; 2.1 Beam Orientation Optimization; 2.2 Fluence Map Optimization; 2.2.1 Alternate Line Search Techniques; 2.2.2 Warm Start Approaches; 2.3 Results; 3 Gamma Knife ® PerfexionTM; 3.1 Relation to IMRT Optimization; 3.2 Sector Duration Optimization; 3.3 Results; 4 Conclusions; References; Portable Asset Management in Hospitals; 1 Introduction; 2 Common Portable Asset Management Models; 2.1 Centralized Systems 327 $a2.2 Semi-Centralized Systems2.3 Decentralized Systems; 3 RFID and Portable Asset Management; 4 Portable Asset Management Systems Analysis; 5 Summary; References; Stochastic Integer Programming in Healthcare Delivery; 1 Introduction; 2 Stochastic Integer Programming; 3 Healthcare Resource Allocation Problems; 3.1 Allocating Ambulances Using Stochastic Integer Programming; 3.2 Medical Facility Location; 4 Healthcare Operations Management; 4.1 Operating Room Optimization; 4.2 Operating Room Planning; 4.3 Operational Decisions in ORs; 4.4 Downstream Constraints; 4.5 Nurse Assignment 327 $a5 Open Challenges6 Conclusions; References; An Expository Discourse of E-Health; 1 Introduction; 2 Background; 3 Telemedicine; 4 Personalized E-Health; 5 Service-Oriented Computing, Grid Computing, and Cloud Computing; 6 Quality Linkages of E-Health; 7 Patient Centered Care Linkages of E-Health; 8 Educational Linkages of E-Health; 9 Issues, Controversies, and Problems; 10 Solutions and Recommendations; 11 Conclusion; References; Nurse Scheduling Problem: An Integer Programming Model with a Practical Application; 1 Introduction; 2 The Problem Description: Goals and Requirements 327 $a2.1 Two Stages of Nurse Scheduling Problem2.2 Data of Nurse Scheduling Problem; 2.3 The Requirements of NSP: Hard and Soft Constraints; 3 Binary Integer Programming Formulation; 3.1 Notations; 3.1.1 Index; 3.1.2 Hard Constraints Parameters; 3.1.3 Soft Constraints Parameters; 3.2 Decision Variables; 3.3 Constraints; 3.4 Objective Functions; 4 Implementations and a Practical Example; 5 Conclusion; 6 Appendix 1: Results of Nurse Scheduling with One Preference Shift in a Week 327 $a7 Appendix 2: Results of Assignments with Respect to Each Day with One Preference Shift in a Week (Employees Who Do Not Appear in this Table Mean They Do Not Need to Work in that Corresponding Week)8 Appendix 3: Results of Nurse Scheduling with Two Preferences Shift (One for Weekdays and One for Weekends); 9 Appendix 4: Results of Assignments with Respect to Each Day with Two Preferences for Weekdays and Weekends (Employees Who Do Not Appear in this Table Mean They Do Not Need to Work in that Corresponding Week); References; Clinical Data Mining to Discover Optimal Treatment Patterns 327 $a1 Introduction 330 $aThis book presents some recent systems engineering and mathematical tools for health care along with their real-world applications by health care practitioners and engineers. Advanced approaches, tools, and algorithms used in operating room scheduling and patient flow are covered. State-of-the-art results from applications of data mining, business process modeling, and simulation in healthcare, together with optimization methods, form the core of the volume. Systems Analysis Tools for Better Health Care Delivery illustrates the increased need of partnership between engineers and health care professionals. This book will benefit researchers and practitioners in health care delivery institutions, staff members and professionals of specialized hospital units, and lecturers and graduate students in engineering, applied mathematics, business administration and health care. 410 0$aSpringer Optimization and Its Applications,$x1931-6828 ;$v74 606 $aHealth services administration$xStatistical methods 606 $aHealth facilities$xAdministration$xStatistical methods 606 $aSystem analysis 615 0$aHealth services administration$xStatistical methods. 615 0$aHealth facilities$xAdministration$xStatistical methods. 615 0$aSystem analysis. 676 $a362.1068 701 $aPardalos$b P. M$g(Panos M.),$f1954-$0318341 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437863703321 996 $aSystems analysis tools for better health care delivery$94187875 997 $aUNINA