Operations research in healthcare: a survey

A Rais, A Viana - International transactions in operational …, 2011 - Wiley Online Library
Optimisation problems in Healthcare have received considerable attention for more than
three decades. More recently, however, with decreasing birth rates in nearly all of the …

[HTML][HTML] A system dynamics-based framework for examining Circular Economy transitions

D Guzzo, DCA Pigosso, N Videira… - Journal of cleaner …, 2022 - Elsevier
Decision-makers in the public policy and business arenas need tools to deal with multiple
sources of complexity in Circular Economy (CE) transitions. System Dynamics (SD) …

[图书][B] PROJECTIONS OF DEMAND FOR HEALTHCARE IN IRELAND, 2015-2030: FIRST REPORT FROM THE HIPPOCRATES MODEL. ESRI RESEARCH SERIES …

MA Wren, C Keegan, B Walsh, A Bergin, J Eighan… - 2017 - aei.pitt.edu
This report provides baseline estimates and projections of public and private healthcare
demand for Irish health and social care services for the years 2015–2030. This is the first …

[HTML][HTML] Machine learning-based demand forecasting in cancer palliative care home hospitalization

M Soltani, M Farahmand, AR Pourghaderi - Journal of Biomedical …, 2022 - Elsevier
Objective To develop an effective Management Information System (MIS) that is empowered
by predictive models that can forecast the demand of end-stage cancer home hospitalized …

A time series analysis-based forecasting framework for the Indian healthcare sector

J Sen, TD Chaudhuri - arXiv preprint arXiv:1705.01144, 2017 - arxiv.org
Designing efficient and robust algorithms for accurate prediction of stock market prices is
one of the most exciting challenges in the field of time series analysis and forecasting. With …

A network flow approach to optimizing hospital bed capacity decisions

E Akcali, MJ Coˆté, C Lin - Health care management science, 2006 - Springer
The delivery of cost-effective and quality hospital-based health care remains an important
and ongoing challenge for the American health care industry. Despite numerous advances …

Forecasting emergency department arrivals: a tutorial for emergency department directors

MJ Cote, MA Smith, DR Eitel, E Akçali - Hospital topics, 2013 - Taylor & Francis
This article is a tutorial for emergency department (ED) medical directors needing to
anticipate ED arrivals in support of strategic, tactical, and operational planning and activities …

Inventory management at a Chilean hospital pharmacy: Case study of a dynamic decision-aid tool

F Silva-Aravena, I Ceballos-Fuentealba… - Mathematics, 2020 - mdpi.com
Pharmacy inventory management is a critical process in healthcare centers. On the one
hand, effective drug procurement is fundamental for fulfilling the therapeutic requirements of …

Predicting outpatient appointment demand using machine learning and traditional methods

B Klute, A Homb, W Chen, A Stelpflug - Journal of medical systems, 2019 - Springer
Traditional methods have long been used for clinical demand forecasting. Machine learning
methods represent the next evolution in forecasting, but model choice and optimization …

A hybrid approach using forecasting and discrete-event simulation for endoscopy services

A Harper, N Mustafee, M Feeney - 2017 Winter Simulation …, 2017 - ieeexplore.ieee.org
Healthcare services worldwide are prioritizing efficiency of delivery and optimization of
resource allocation. Efficient healthcare delivery relies on the coordination of demand and …