rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Healthcare Service Management
    sub title: A Data-Driven Systems Approach
  name:
    name part: Tao, Li.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Liu, Jiming.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVII, 168 p. 64 illus. online resource.
  abstract: Healthcare service systems are of profound importance in promoting the public health and wellness of people. This book introduces a data-driven complex systems modeling approach (D2CSM) to systematically understand and improve the essence of healthcare service systems. In particular, this data-driven approach provides new perspectives on health service performance by unveiling the causes for service disparity, such as spatio-temporal variations in wait times across different hospitals. The approach integrates four methods -- Structural Equation Modeling (SEM)-based analysis; integrated projection; service management strategy design and evaluation; and behavior-based autonomy-oriented modeling -- to address respective challenges encountered in performing data analytics and modeling studies on healthcare services. The thrust and uniqueness of this approach lies in the following aspects: Ability to explore underlying complex relationships between observed or latent impact factors and service performance. Ability to predict the changes and demonstrate the corresponding dynamics of service utilization and service performance. Ability to strategically manage service resources with the adaptation of unpredictable patient arrivals. Ability to figure out the working mechanisms that account for certain spatio-temporal patterns of service utilization and performance. To show the practical effectiveness of the proposed systematic approach, this book provides a series of pilot studies within the context of cardiac care in Ontario, Canada. The exemplified studies have unveiled some novel findings, e.g., (1) service accessibility and education may relieve the pressure of population size on service utilization; (2) functionally coupled units may have a certain cross-unit wait-time relationship potentially because of a delay cascade phenomena; (3) strategically allocating time blocks in operating rooms (ORs) based on a feedback mechanism may benefit OR utilization; (4) patients' and…
  table of contents: Table of Contents ii -- List of Tables vii -- List of Figures -- Chapter 1 Introduction 1 -- Chapter 2 Data Analytics and Modeling Methods for Healthcare Service Systems 35 -- Chapter 3 Effects of Demand Factors on Service Utilization 52 -- Chapter 4 Effects of Supply Factors on Wait Times 71 -- Chapter 5 Integrated Prediction of Service Performance 95 -- Chapter 6 An Adaptive Strategy for Wait Times Management 115 -- Chapter 7 Spatio-Temporal Patterns in Patient Arrivals and Wait Times 130 -- Chapter 8 An Intelligent Healthcare Decision Support System 176 -- Bibliography 209 -- Notation Index 237 -- List of Abbreviations 240.
  note: by Li Tao, Jiming Liu.
  subject:
    topic: Application software
  subject:
    topic: Database management
  subject:
    topic: Health informatics
  subject:
    topic: Information Systems Applications (incl. Internet)
  subject:
    topic: Database Management
  subject:
    topic: Health Informatics
  classification: QA76.76.A65
  classification: 005.7
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Health Information Science
  identifier: 9783030153854
  identifier: https://doi.org/10.1007/978-3-030-15385-4
  record info:
    record creation date: 190508
    record change date: 20191026172023.0
    record identifier: 978-3-030-15385-4