A configurable computer simulation model for reducing patient waiting time in oncology departments

被引:5
作者
Corsini, Roberto Rosario [1 ]
Costa, Antonio [2 ]
Fichera, Sergio [2 ]
Pluchino, Alessandro [1 ,3 ]
机构
[1] Univ Catania, Dept Phys & Astron E Majorana, Catania, Italy
[2] Univ Catania, Dicar Dept, Catania, Italy
[3] Univ Catania, Dept Phys & Astron E Majorana, Sez Infn Catania, Catania, Italy
关键词
Simulation; healthcare; oncology; DISCRETE-EVENT SIMULATION; HEALTH-CARE; CHEMOTHERAPY TREATMENT; OPTIMIZATION; VERIFICATION; VALIDATION; SYSTEM; UNIT; SATISFACTION; DYNAMICS;
D O I
10.1080/20476965.2022.2030655
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Nowadays, the increase in patient demand and the decline in resources are lengthening patient waiting times in many chemotherapy oncology departments. Therefore, enhancing healthcare services is necessary to reduce patient complaints. Reducing the patient waiting times in the oncology departments represents one of the main goals of healthcare managers. Simulation models are considered an effective tool for identifying potential ways to improve patient flow in oncology departments. This paper presents a new agent-based simulation model designed to be configurable and adaptable to the needs of oncology departments which have to interact with an external pharmacy. When external pharmacies are utilised, a courier service is needed to deliver the individual therapies from the pharmacy to the oncology department. An oncology department located in southern Italy was studied through the simulation model and different scenarios were compared with the aim of selecting the department configuration capable of reducing the patient waiting times.
引用
收藏
页码:208 / 222
页数:15
相关论文
共 68 条
  • [1] Agent Based Modelling and Simulation tools: A review of the state-of-art software
    Abar, Sameera
    Theodoropoulos, Georgios K.
    Lemarinier, Pierre
    O'Hare, Gregory M. P.
    [J]. COMPUTER SCIENCE REVIEW, 2017, 24 : 13 - 33
  • [2] Multi- criteria approach using simulation- based balanced scorecard for supporting decisions in health-care facilities: an emergency department case study
    Abo-Hamad, Waleed
    Arisha, Amr
    [J]. HEALTH SYSTEMS, 2014, 3 (01) : 43 - 59
  • [3] Aboumatar HJ, 2008, AM J MANAG CARE, V14, P309
  • [4] Simulation optimization for an emergency department healthcare unit in Kuwait
    Ahmed, Mohamed A.
    Alkhamis, Talal M.
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2009, 198 (03) : 936 - 942
  • [5] Developing an efficient scheduling template of a chemotherapy treatment unit: A case study
    Ahmed, Z.
    ElMekkawy, T. Y.
    Bates, S.
    [J]. AUSTRALASIAN MEDICAL JOURNAL, 2011, 4 (10): : 575 - 588
  • [6] Agent-based dynamic optimization for managing the workflow of the patient's pathway
    Ajmi, Faten
    Zgaya, Hayfa
    Ben Othman, Sarah
    Hammadi, Slim
    [J]. SIMULATION MODELLING PRACTICE AND THEORY, 2019, 96
  • [7] Modeling and simulation of oncology clinic operations in discrete event system specification
    Alvarado, Michelle M.
    Cotton, Tanisha G.
    Ntaimo, Lewis
    Perez, Eduardo
    Carpentier, William R.
    [J]. SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2018, 94 (02): : 105 - 121
  • [8] Future Supply of and Demand for Oncologists Workforce Advisory Group Addresses Likely Shortages
    Goldstein, Michael
    Bajorin, Dean
    Kosty, Michael
    Paulson, R. Steven
    [J]. JOURNAL OF ONCOLOGY PRACTICE, 2008, 4 (06) : 300 - 302
  • [9] Using Six Sigma DMAIC Methodology and Discrete Event Simulation to Reduce Patient Discharge Time in King Hussein Cancer Center
    Arafeh, Mazen
    Barghash, Mahmoud A.
    Haddad, Nirmin
    Musharbash, Nadeem
    Nashawati, Dana
    Al-Bashir, Adnan
    Assaf, Fatina
    [J]. JOURNAL OF HEALTHCARE ENGINEERING, 2018, 2018
  • [10] Baesler FF, 2001, WSC'01: PROCEEDINGS OF THE 2001 WINTER SIMULATION CONFERENCE, VOLS 1 AND 2, P1405, DOI 10.1109/WSC.2001.977463