A Simulation Knowledge Extraction-based Decision Support System for the Healthcare Emergency Department

Nowadays, healthcare systems services have become a serious concern for many countries across the world. Due to its complexity and Variability the Emergency Department ED is considered the most critical unit of the hospital and the healthcare systems in general. Increasing the patient satisfaction, reducing as much as possible the patient's waiting time and the patient's length of stay, and optimizing the resources utilization are the overriding preoccupation for any ED manager. To support the performance enhancement in the ED, simulation studies have profusely been involved. In this paper the authors describe a decision support system based on the combination of a simulation and a temporal knowledge extraction model for the operation improvement of the emergency department in the public hospital Lakhdar Bouzidi in Bordj Bou Arreridj Algeria. Their methodology points out how agent-based modeling simulation can benefit from data mining analysis methods to provide a powerful decision support system that can help managers to improve the functioning of the ED.

[1]  Abbas Al-Refaie,et al.  Applying simulation and DEA to improve performance of emergency department in a Jordanian hospital , 2014, Simul. Model. Pract. Theory.

[2]  Farid Kadri,et al.  A simulation-based decision support system to prevent and predict strain situations in emergency department systems , 2014, Simul. Model. Pract. Theory.

[3]  Padhraic Smyth,et al.  From Data Mining to Knowledge Discovery in Databases , 1996, AI Mag..

[4]  Ron Goeree,et al.  Simulating an emergency department: the importance of modeling the interactions between physicians and delegates in a discrete event simulation , 2013, BMC Medical Informatics and Decision Making.

[5]  Robert G. Sargent,et al.  Verification and validation of simulation models , 2009, IEEE Engineering Management Review.

[6]  Ewart R. Carson,et al.  Towards knowledge-based systems in clinical practice: : Development of an integrated clinical information and knowledge management support system , 2003, Comput. Methods Programs Biomed..

[7]  Alexander Komashie,et al.  Modeling emergency departments using discrete event simulation techniques , 2005, Proceedings of the Winter Simulation Conference, 2005..

[8]  Ranjit Bose,et al.  Knowledge management-enabled health care management systems: capabilities, infrastructure, and decision-support , 2003, Expert Syst. Appl..

[9]  Manel Taboada,et al.  International Conference on Computational Science , ICCS 2012 Simulation Optimization for Healthcare Emergency Departments , 2013 .

[10]  Dominik Aronsky,et al.  Forecasting emergency department crowding: a discrete event simulation. , 2008, Annals of emergency medicine.

[11]  L. Connelly,et al.  Discrete event simulation of emergency department activity: a platform for system-level operations research. , 2004, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[12]  Renata Konrad,et al.  Modeling the impact of changing patient flow processes in an emergency department: Insights from a computer simulation study , 2013 .

[13]  Manuel D. Rossetti,et al.  Emergency department simulation and determination of optimal attending physician staffing schedules , 1999, WSC '99.

[14]  Markus Hegland,et al.  Data Mining Techniques , 2001, Acta Numerica.

[15]  A. K. Pujari,et al.  Data Mining Techniques , 2006 .

[16]  Jiawei Han,et al.  Data Mining: Concepts and Techniques , 2000 .

[17]  Darrell W. Starks,et al.  The use of simulation to reduce the length of stay in an emergency department , 2003, Proceedings of the 2003 Winter Simulation Conference, 2003..

[18]  Trevor Spedding,et al.  Modelling patient arrivals when simulating an Accident and Emergency Unit , 2008, 2008 Winter Simulation Conference.

[19]  Daniel Amyot,et al.  A Review on the Contribution of Emergency Department Simulation Studies in Reducing Wait Time , 2017, Int. J. E Health Medical Commun..

[20]  J. Machado,et al.  Applied Pervasive Patient Timeline in Intensive Care Units , 2017, Hospital Management and Emergency Medicine.

[21]  Colin A. Graham,et al.  Improving the efficiency of a hospital emergency department: a simulation study with indirectly imputed service-time distributions , 2016 .

[23]  Fatah Chetouane,et al.  Modeling and Improving Emergency Department Systems using Discrete Event Simulation , 2007, Simul..

[24]  M. Laskowski,et al.  Models of Emergency Departments for Reducing Patient Waiting Times , 2009, PloS one.

[25]  Voula C. Georgopoulos,et al.  Fuzzy Cognitive Map Decision Support System for Successful Triage to Reduce Unnecessary Emergency Room Admissions for the Elderly , 2013 .

[26]  Emilio Luque,et al.  Optimization of Healthcare Emergency Departments by Agent-Based Simulation , 2011, ICCS.

[27]  R. Scott Evans,et al.  An Agent Based Simulation Tool for Scheduling Emergency Department Physicians , 2008, AMIA.

[28]  Amr Arisha,et al.  Simulation-based framework to improve patient experience in an emergency department , 2013, Eur. J. Oper. Res..

[29]  Gerald W. Evans,et al.  A simulation model for evaluating personnel schedules in a hospital emergency department , 1996, Winter Simulation Conference.

[30]  Talal M. Alkhamis,et al.  Simulation optimization for an emergency department healthcare unit in Kuwait , 2009, Eur. J. Oper. Res..

[31]  Toni Ruohonen,et al.  Simulation Model for Improving the Operation of the Emergency Department of Special Health Care , 2006, Proceedings of the 2006 Winter Simulation Conference.