Advanced decision making methods applied to health care
著者
書誌事項
Advanced decision making methods applied to health care
(International series in operations research & management science, v. 173)
Springer, c2012
大学図書館所蔵 全4件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references
内容説明・目次
内容説明
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.
目次
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.
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