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: Health Care Systems Engineering
    sub title: HCSE, Florence, Italy, May 2017
  name:
    name part: Cappanera, Paola.
    role:
      role term: editor.
  name:
    name part: Li, Jingshan.
    role:
      role term: editor.
  name:
    name part: Matta, Andrea.
    role:
      role term: editor.
  name:
    name part: Sahin, Evren.
    role:
      role term: editor.
  name:
    name part: Vandaele, Nico J.
    role:
      role term: editor.
  name:
    name part: Visintin, Filippo.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVII, 300 p. 63 illus. online resource.
  abstract: This book presents statistical processes for health care delivery and covers new ideas, methods and technologies used to improve health care organizations. It gathers the proceedings of the Third International Conference on Health Care Systems Engineering (HCSE 2017), which took place in Florence, Italy from May 29 to 31, 2017. The Conference provided a timely opportunity to address operations research and operations management issues in health care delivery systems. Scientists and practitioners discussed new ideas, methods and technologies for improving the operations of health care systems, developed in close collaborations with clinicians. The topics cover a broad spectrum of concrete problems that pose challenges for researchers and practitioners alike: hospital drug logistics, operating theatre management, home care services, modeling, simulation, process mining and data mining in patient care and health care organizations.
  table of contents: 1 V. Nicoletta et al., A Cardinality-Constrained Robust Approach for the Ambulance Location and Dispatching Problem -- 2 K. Hwang et al., A choice model for estimating realized accessibility: case study for obstetrics care in Korea -- 3 M. Di Mascolo et al., A decision-making tool for the calculation of a robust planning for Home Service employees -- 4 S. Yalçındağ and A. Matta, A Decomposition Approach for the Home Health Care Problem with Time Windows -- 5 P. Landa et al., A Hybrid Simulation Approach to face/analyze patient boarding in Emergency Departments -- 6 H. Jang et al., A Location Problem for Medically Under-served Areas in Korea -- 7 N. Lahrichi et al., A New Decomposition Approach for the Home Health Care Problem -- 8 D. Miller et al., A practical approach to machine learning for clinical decision support -- 9 M. Koyuncu et al., A Simulation Model for Optimizing Staffing in the Emergency Department -- 10 K. Karubeet al., Analysis of Facility Layout in Elderly Day Care Facility -- 11 D. Scheinker and M. Brandeau, Analytical Approaches to Operating Room Management: Projects at Lucile Packard Children's Hospital Stanford -- 12 Y. Chen et al., Appointment Overbooking and Scheduling: Tradeoffs between Schedule Efficiency and Timely Access to Service -- 13 C. Caprara et al., Crowding in Paediatric Emergency Department, a Review of the Literature and a Simulation-Based Case Study -- 14 M. Cildoz et al., Dealing with stress and workload in emergency departments -- 15 M. Painchaud et al., Discrete-Event Simulation of an Hospital Transportation Service -- 16 P. Cappanera et al., Empirical Data Driven Intensive Care Unit Drugs Inventory Policies -- 17 P. Mic and M. Koyuncu, Estimation of Case Numbers at Pandemics and Testing of Hospital Resource’s Sufficiency with Simulation Modeling -- 18 G. Carello et al., Handling Time-Related Demands in the Home Care Nurse-to-Patient Assignment Problem with the Implementor-Adversarial Approach -- 19 A. Guinet, How to protect a…
  note: edited by Paola Cappanera, Jingshan Li, Andrea Matta, Evren Sahin, Nico J. Vandaele, Filippo Visintin.
  subject:
    topic: Statistics
  subject:
    topic: Health care management
  subject:
    topic: Health services administration
  subject:
    topic: Public health
  subject:
    topic: Data mining
  subject:
    topic: Industrial engineering
  subject:
    topic: Production engineering
  subject:
    topic: Statistics
  subject:
    topic: Statistics for Life Sciences, Medicine, Health Sciences
  subject:
    topic: Industrial and Production Engineering
  subject:
    topic: Public Health
  subject:
    topic: Health Care Management
  subject:
    topic: Data Mining and Knowledge Discovery
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Proceedings in Mathematics & Statistics, 210
  identifier: 9783319661469
  identifier: http://dx.doi.org/10.1007/978-3-319-66146-9
  record info:
    record creation date: 180129
    record change date: 20180129023018.0
    record identifier: 978-3-319-66146-9