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 …
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
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) …
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 …
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 …
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
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 …
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 …
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
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 …
and ongoing challenge for the American health care industry. Despite numerous advances …
Forecasting emergency department arrivals: a tutorial for emergency department directors
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 …
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 …
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 …
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 …
resource allocation. Efficient healthcare delivery relies on the coordination of demand and …