Simulation modelling of patient flow and capacity planning for regional long-term care needs: a case study-Reference-Cited by-同舟云学术

Simulation modelling of patient flow and capacity planning for regional long-term care needs: a case study

Published:2017-11-28 Issue:1 Volume:8 Page:1-16
ISSN:2047-6965
Container-title:Health Systems
language:en
Short-container-title:Health Systems

Author:

Bae Ki-Hwan¹^ORCID,Jones Molly²,Evans Gerald¹^ORCID,Antimisiaris Demetra³

Affiliation:

1. Industrial Engineering, University of Louisville, Louisville, KY, USA

2. Inspire Medical, Louisville, KY, USA

3. Family and Geriatric Medicine, University of Louisville, Louisville, KY, USA

Funder

Kentucky Science and Engineering Foundation

Publisher

Informa UK Limited

Subject

Health Informatics,Health Policy

Link

https://www.tandfonline.com/doi/pdf/10.1080/20476965.2017.1405873

Reference33 articles.

1. Administration on Aging, Department of Health and Human Services. (2014). Retrieved November 2014, from http://www.aoa.gov/AoARoot/Aging_Statistics/index.aspx.

2. Simulating the Impact of Long-Term Care Policy on Family Eldercare Hours

3. Improving Primary Care for Patients With Chronic Illness

4. Bureau of the Census. (2014). Retrieved February 2014, from, http://www.census.gov

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Towards reliable forecasting of healthcare capacity needs: A scoping review and evidence mapping;International Journal of Medical Informatics;2024-09

2. A systematic literature review of predicting patient discharges using statistical methods and machine learning;Health Care Management Science;2024-07-22

3. Transfers between health facilities of people living with diabetes attending primary health care services in the Western Cape Province of South Africa: A retrospective cohort study;Tropical Medicine & International Health;2024-03-21

4. Optimization of Healthcare System Layout to Improve Patient Experience;Lecture Notes on Multidisciplinary Industrial Engineering;2024

5. Using stochastic simulation modelling to study occupancy levels of decentralised admission avoidance units in Norway;Health Systems;2023-02-15