Journals / Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi / 2018 / Cilt: 24 - Sayı: 1

Operations research in healthcare systems: Literature review of years 2007-2017

Sağlık sistemlerinde yöneylem araştırması teknikleri: 2007-2017 yılları arası literatür taraması

Pages
153–166
Publication Date
2018-02-27
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In order to guide the researchers who will work on these issues, studies published between the years 2007-2017 are evaluated according to their headings, solution methods and applications on real life problems, and the applicability of Operation Research over these problems is presented.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The use of Operations Research techniques for problems in healthcare systems is observed to get remarkable attention in recent years.
📊
Key Findings & Data:In this study, problems encountered in healthcare systems are taken into consideration and are classified under the headings of planning, management and application.
💡
Conclusion & Impact:In order to guide the researchers who will work on these issues, studies published between the years 2007-2017 are evaluated according to their headings, solution methods and applications on real life problems, and the applicability of Operation Research over these problems is presented.
🔬Design:Research Article
📍Scope:2007-2017 Verileri
⚙️Variables:Sağlık sistemleri · Yöneylem araştırması · Optimizasyon

Abstract

The use of Operations Research techniques for problems in healthcare systems is observed to get remarkable attention in recent years. In this study, problems encountered in healthcare systems are taken into consideration and are classified under the headings of planning, management and application. In order to guide the researchers who will work on these issues, studies published between the years 2007-2017 are evaluated according to their headings, solution methods and applications on real life problems, and the applicability of Operation Research over these problems is presented.

Özet

Yöneylem Araştırması tekniklerinin sağlık alanındaki problemlerin çözümünde kullanımının son yıllarda dikkat çekici boyutlara ulaştığı görülmektedir. Bu çalışmada, sağlık sistemlerinde karşılaşılan problemler ele alınmış ve planlama, yönetim ve uygulama başlıkları altında sınıflandırılmıştır. Bu konularda çalışma yapacak araştırmacılara yön göstermesi amacıyla, 2007-2017 yılları arasında yayınlanan çalışmalar, konu başlıklarına göre, çözüm yöntemleri ve gerçek hayat problemleri üzerindeki uygulamaları açısından değerlendirilmiş ve Yöneylem Araştırması’nın bu tür problemlerin çözümünde uygulanabilirliği ortaya koyulmuştur.

🔖

Cite This Article

BATUR, G. D., EROL, S. (2018). Operations research in healthcare systems: Literature review of years 2007-2017. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, Cilt: 24 - Sayı: 1, 153–166. https://ajindex.com/articles/108880

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (13)

  1. Rais A, Viana A. “Operations research in healthcare: a survey”. International Transactions in Operational Research, 18(1), 1-31, 2011.
  2. Kulkarni VG. “Stochastic Models in Health Care”. http://www.unc.edu/~vkulkarn/HealthCare.pdf (01.10.2012).
  3. Brailsford S, Vissers, J. “OR in healthcare: a european perspective”. European Journal of Operational Research, 212(2), 223-234, 2011.
  4. Mielczarek B, Uziałko-Mydlikowska J. “Application of computer simulation modeling in the health care sector: a survey”. Simulation: Transactions of the Society for Modeling and Simulation International, 88(2), 197-216, 2010.
  5. Ganguly A, Nandi S. “Using statistical forecasting to optimize staff scheduling in healthcare organizations”. Journal of Health Management, 18(1), 172-181, 2016.
  6. Kim K, Lee C, O’Leary K, Rosenauer S, Mehrotra S. “Predicting Patient Volumes in Hospital Medicine: A Comparative Study of Different Time Series Forecasting Methods”. Northwestern University, Illinois, USA, Scientific Report, 2014.
  7. Jalalpour M, Gel Y, Levin S. “Forecasting demand for health services: development of a publicly available toolbox”. Operations Research for Health Care, 5, 1-9, 2015.
  8. Boutsioli Z. “Hospital costs and unexpected demand: The case of greece”. The Open Economics Journal, 4, 49-58, 2011. Renaud-Théry F, Avila-Figueroa C, Stover J, Thierry S, Vitoria M, Habiyambere V, Souteyrand Y. “Utilization patterns and projected demand of antiretroviral drugs in low- and middle-income countries”. AIDS Research and Treatment, 1-8, 2011.
  9. Afilal M, Yalaoui F, Dugardin F, Amodeo L, Laplanche D, Blua P. “Forecasting the emergency department patients flows”. Journal of Medical Systems, 40, 1-18, 2016.
  10. Kadri F, Harrou F, Chaabane S, Tahon C. “Time series modelling and forecasting of emergency department overcrowding”. Journal of Medical Systems, 38(9), 1-20, 2014.
  11. Xu M, Wong TC, Chin KS. “Modeling daily patient arrivals at emergency department and quantifying the relative importance of contributing variables using artificial neural network”. Decision Support Systems, 54, 1488-1498, 2013.
  12. Shan S, Yoon SW, Khasawneh MT, Gandhi T. “A decision support system for estimating short-term hospital inpatient demands”. 8th International Conference on Service Systems and Service Management (ICSSSM), Tianjin, China, 1-4 June 2011.
  13. Eitel DR, Rudkin S, Malvehy MA, Killeen JP, Pines J. “Improving service quality by understanding emergency department flow: a white paper and position statement prepared for the american ac