| Vorliegende Sprache |
eng |
| ISBN |
978-88-470-2320-8 |
| Name |
Tànfani, Elena |
| Testi, Angela |
| ANZEIGE DER KETTE |
Testi, Angela |
| T I T E L |
Advanced Decision Making Methods Applied to Health Care |
| Verlagsort |
Milano |
| Verlag |
Springer Milan |
| Erscheinungsjahr |
2012 |
| 2012 |
| Umfang |
Online-Ressource (VIII, 236 p, digital) |
| Reihe |
International Series in Operations Research & Management Science ; 173 |
| Notiz / Fußnoten |
Description based upon print version of record |
| Weiterer Inhalt |
Title Page; Copyright Page; Preface; Table of Contents; Chapter 1 Workforce management based on forecasted demand; 1.1 Introduction and problem addressed; 1.2 Materials and methods; 1.3 Results and discussion; 1.4 Conclusions; References; Chapter 2 Operating rooms scheduling under uncertainty; 2.1 Introduction and problem addressed; 2.1.1 Introduction; 2.1.2 Literature review; 2.1.2.1 Allocation problem; 2.1.2.2 Scheduling problems; 2.1.2.3 Models integrating allocation and scheduling; 2.1.2.4 Variability; 2.2 Materials and methods; 2.2.1 Solution approach; 2.2.2 Case assignment problem. 2.2.3 Scheduling strategies2.2.4 Simulation; 2.3 Results and discussion; 2.3.1 Test data; 2.3.2 Performance Ratios; 2.3.3 Experimental results; 2.3.4 Sensitivity to planning day length; 2.3.5 Study 2 - lognormal distribution; 2.3.6 Discussion; 2.4 Conclusions; References; Chapter 3 Idealised design and modelling of alternatives to hospital care; 3.1 Introduction and problem addressed; 3.1.1 The search for alternatives to acute hospital care; 3.1.2 Developing a new methodology; 3.1.3 Key issues for management; 3.2 Materials and methods; 3.2.1 Undertaking a whole system case study. 3.2.2 Reviewing bed utilisation3.2.3 Steps in undertaking a bed utilisation review; 3.2.4 Engaging the key players; 3.2.5 Selection of the sample; 3.2.6 Design of the survey form; 3.2.7 Recruitment and training of surveyors; 3.2.8 Survey feedback; 3.3 Results and discussion; 3.3.1 Overview; 3.3.2 Implications for bed capacity; 3.3.3 Discussion; 3.4 Conclusions; References; Chapter 4 A coordination model for enhancing research on rare diseases; 4.1 Introduction and problem addressed; 4.1.1 What is a rare disease?; 4.1.2 Orphan drugs; 4.1.3 Orphan drug designation and incentives. 4.2 Materials and methods4.2.1 R&D assignment problem; 4.2.2 Multiple knapsack problem; 4.2.3 College admissions problem; 4.3 Results and discussion; 4.3.1 R&D assignment problem as MKP; 4.3.2 R&D assignment problem as CAP; 4.3.3 The toy-model; 4.3.3.1 The MKP solution; 4.3.3.2 The CAP solution; 4.3.3.3 The greedy solution; 4.4 Conclusions; References; Chapter 5 Integrating simulation and risk-based sensitivity analysis methods in hospital emergency department design; 5.1 Introduction and problem addressed; 5.2 Materials and methods; 5.2.1 Methodological background. 5.2.2 Proposed integration of methods5.2.2.1 Step 1. Discrete event simulation of a candidate design; 5.2.2.2 Step 2. Analysis of average and extreme operating conditions; 5.2.2.3 Step 3. Analysis of simulation output sensitivity to uncertainty; 5.2.2.4 Step 4. Multiobjective comparison of candidate designs; 5.3 Results and discussion; 5.3.1 Step 1 application. Discrete-event simulation of candidate ED designs; 5.3.2 Step 2 application. Analysis of average and extreme ED operating conditions; 5.3.3 Step 3 application. Sensitivity of ED system metrics to uncertainty in arrival times. 5.3.4 Step 4 application. Multiobjective comparison of candidate ED system designs |
| Titelhinweis |
Buchausg. u.d.T.ISBN: 978-88-470-2320-8 |
| ISBN |
ISBN 978-88-470-2321-5 |
| Klassifikation |
KCP |
| POL024000 |
| *90-06 |
| 90B50 |
| 90B70 |
| 00B15 |
| 338.9 |
| HD87-87.55 |
| Kurzbeschreibung |
Workforce Management based on forecasted demand -- Operating rooms scheduling under uncertainty -- Idealised design and modelling of alternatives to hospital care -- A coordination model for enhancing research on rare diseases -- Integrating simulation and risk-based sensitivity analysis methods in hospital emergency department design -- Technical and scale efficiencies of Catholic hospitals: Does a system value of stewardship matter?- Optimal allocation of urban nuclei to hospital birth centres in a geographical region -- The nurse-to-patient assigment problem in Home Care services -- An analysis of the financial statements of Italian health care providers through correlation-based networks -- Prioritizing health care interventions: A multicriteria resource allocation model to inform the choice of community care programmes -- Using data envelopment analysis for formative evaluation of radiotherapy services: An exploratory study -- A simulation-based decision support tool to analyze clinical pathways in hospital -- Patient mix optimisation for inpatient planning with multiple resources |
| 2. Kurzbeschreibung |
The most difficult part of making decisions in the health care field on all levels (national, regional, institutional, patient) is linked to the very complexity of the system itself, to the intrinsic uncertainty involved and its dynamic nature. This requires not only the ability to analyze and interpret a large amount of information but also arrange it so that it becomes a cognitive base for appropriate decision-making. Moreover, decisions in the health care field are subjected to many challenges and constraints: fast change and uncertain outcomes, aging population, increasing citizen expectations, equity considerations and limited resources. Operations research, statistical and economic-related quantitative methods supply these decisions making tools and methodology. The contributed book presents a collection of applications to concrete situations detailing the problem area, the methodology employed, the implementation and results. Each topic addressed in the book will be structured in such a way that an interdisciplinary and wide audience will be able to use the materials presented. As an example the book chapters will address health policies issues, planning health services, epidemiology and disease modelling, home-care modelling, logistics in health care, capacity planning, quality and appropriateness |
| SWB-Titel-Idn |
367686791 |
| Signatur |
Springer E-Book |
| Bemerkungen |
Elektronischer Volltext - Campuslizenz |
| Elektronische Adresse |
$uhttp://dx.doi.org/10.1007/978-88-470-2321-5 |
| Internetseite / Link |
Volltext |
| Siehe auch |
Volltext |
| Siehe auch |
Cover |
| Siehe auch |
Inhaltstext |
