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SAĞLIKTA SİMÜLASYON: ACİL SERVİS

Yıl 2021, Cilt: 1 Sayı: 3, 148 - 162, 30.10.2021

Öz

Acil servis yönetimi, birçok karmaşıklığı barındıran temel bir hastane problemidir. Sağlık sistemleri ve tıp eğitiminde uygulanan simülasyon, sistemlere optimize edilmiş ve idealleştirilmiş bir işlev sağlamaktadır. Sağlık sistemine etkinlik, verimlilik ve eşitlik sağlar. Bu çalışmada sağlık sistemleri sorunları ve simülasyon yöntemleri tanımlanmış, simülasyonun sağlık hizmetlerine nasıl değer kattığı açıklanmış, incelenen konular zorluklar ve geleceğe bakış açılarıyla ele alınmıştır. Acil serviste kullanılan optimizasyon parametreleri sağlık sisteminin tüm alanlarında da kullanılmaktadır. Bu derlemede, mevcut simülasyon uygulamalarının acil servis yönetimindeki katkılarını ve etkili bir model geliştirmek için dikkate alınması gereken ana parametreleri vurgulamaktır. İki yüz on araştırma ve derleme makalesinde yinelenenler çıkarıldıktan sonra yüz otuz beş çalışma incelenmiştir. Ayrıca, sorunun çözümünde karşılaşılan temel sorunlar ve iyileştirilmesi gereken alanlar da tartışılmaktadır. Yapılan araştırmalara dayanarak, simülasyonun disiplinler arası bir çerçeve sağlayarak hasta bakım altyapıları ve acil servis uygulamaları için önemli bir metodoloji olduğu sonucuna varılabilir.

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A REVIEW OF SIMULATION STUDIES IN HEALTHCARE: EMERGENCY SERVICE APPLICATIONS

Yıl 2021, Cilt: 1 Sayı: 3, 148 - 162, 30.10.2021

Öz

Managing the emergency service, including many complexities, is one of the main problems for hospitals. A simulation that is implemented health systems and medical education promote optimized and idealized function to systems. It provides effectiveness, efficiency, and equity to the health care system. In this study, the health systems problems and simulation methods were defined, how simulation adds value in healthcare clarified, challenges and issues examined by future perspectives. Optimization parameters used in the emergency department of healthcare are highlighted in all areas of the health system. In order to do those one hundred thirty-five studies were examined after removing duplicates in two hundred ten research and review articles. In addition, the main problems faced in solving the problem and areas that need to be improved are also discussed. Based on the research carried out, it can be concluded that simulation is a crucial methodology for patient care infrastructures and emergency service applications by providing an interdisciplinary framework.

Kaynakça

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  • Li, Guangzhen, Shengluo Yang, Zhigang Xu, Junyi Wang, Zhaohui Ren, and Guobing Li. 2020. “Resource Allocation Methodology Based on Object-Oriented Discrete Event Simulation: A Production Logistics System Case Study.” CIRP Journal of Manufacturing Science and Technology 31.
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  • Liu, Zhengchun. 2017. “Modeling and Simulation for Healthcare Operations Management Using High Performance Computing and Agent-Based Model.” Journal of Computer Science and Technology 17(1).
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  • Lloyd, Adam, Alistair Dewar, Simon Edgar, Dave Caesar, Paul Gowens, and Gareth Clegg. 2017. “How to Implement Live Video Recording in the Clinical Environment: A Practical Guide for Clinical Services.” International Journal of Clinical Practice 71(6). doi: 10.1111/ijcp.12951.
  • Mahdy, Zaleha Abdullah, Muhammad Maaya, Ixora Kamisan Atan, Azlan Helmy Abd Samat, Mohd Hisham Isa, and Ismail Mohd Saiboon. 2020. “Simulation in Healthcare in the Realm of Education 4.0.” Sains Malaysiana 49(8). doi: 10.17576/jsm-2020-4908-21.
  • Malavisi, M., G. P. Cimellaro, V. Terzic, and S. Mahin. 2015. “Hospital Emergency Response Network for Mass Casualty Incidents.” in Structures Congress 2015 - Proceedings of the 2015 Structures Congress.
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  • Mayorga, Lía, Clara García Samartino, Gabriel Flores, Sofía Masuelli, María Victoria Sánchez, Luis S. Mayorga, and Cristián Gabriel Sánchez. 2020. “Detection and Isolation of Asymptomatic Individuals Can Make the Difference in COVID-19 Epidemic Management.” MedRxiv.
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  • Mielczarek, Bożena, and Jacek Zabawa. 2018. “Healthcare Demand Simulation Model.” in Proceedings - European Council for Modelling and Simulation, ECMS.
  • Milazzo, L., J. L. Bown, A. Eberst, G. Phillips, and J. W. Crawford. 2011. “Modelling of Healthcare Associated Infections: A Study on the Dynamics of Pathogen Transmission by Using an Individual-Based Approach.” Computer Methods and Programs in Biomedicine 104(2). doi: 10.1016/j.cmpb.2011.02.002.
  • Motola, Ivette, Luke A. Devine, Hyun Soo Chung, John E. Sullivan, and S. Barry Issenberg. 2013. “Simulation in Healthcare Education: A Best Evidence Practical Guide. AMEE Guide No. 82.” Medical Teacher 35(10). doi: 10.3109/0142159X.2013.818632.
  • Nazir, Shah, Sulaiman Khan, Habib Ullah Khan, Shaukat Ali, Ivan Garcia-Magarino, Rodziah Binti Atan, and Muhammad Nawaz. 2020. “A Comprehensive Analysis of Healthcare Big Data Management, Analytics and Scientific Programming.” IEEE Access 8. doi: 10.1109/ACCESS.2020.2995572.
  • Nuamah, Joseph K., Karthik Adapa, and Lukasz Mazur. 2020. “Electronic Health Records (EHR) Simulation-Based Training: A Scoping Review Protocol.” BMJ Open 10(8). doi: 10.1136/bmjopen-2020-036884.
  • O’Donovan, Róisín, and Eilish McAuliffe. 2020. “A Systematic Review Exploring the Content and Outcomes of Interventions to Improve Psychological Safety, Speaking up and Voice Behaviour.” BMC Health Services Research 20(1).
  • Park, Christine S., Louise Clark, Grace Gephardt, Jamie M. Robertson, Jane Miller, Dayna K. Downing, Bee Leng Sabrina Koh, Kellie D. Bryant, David Grant, Dinker R. Pai, Jesika S. Gavilanes, Edgar Israel Herrera Bastida, Li Li, Keith Littlewood, Eliana Escudero, Michelle Ann Kelly, Debra Nestel, and Jan Joost Rethans. 2020. “Manifesto for Healthcare Simulation Practice.” BMJ Simulation and Technology Enhanced Learning 6(6).
  • Paul, Prabasaj, Rachel B. Slayton, Alexander J. Kallen, Maroya S. Walters, and John A. Jernigan. 2020. “Modeling Regional Transmission and Containment of a Healthcare-Associated Multidrug-Resistant Organism.” Clinical Infectious Diseases 70(3). doi: 10.1093/cid/ciz248.
  • Pawlowski, John B., David M. Feinstein, and Shalin G. Gala. 2018. “Developments in the Transition from Animal Use to Simulation-Based Biomedical Education.” Simulation in Healthcare 13(6). doi: 10.1097/SIH.0000000000000310.
  • Persson, Johanna. 2017. “A Review of the Design and Development Processes of Simulation for Training in Healthcare – A Technology-Centered versus a Human-Centered Perspective.” Applied Ergonomics 58.
  • Porphyre, Thibaud, Karl M. Rich, and Harriet K. Auty. 2018. “Assessing the Economic Impact of Vaccine Availability When Controlling Foot and Mouth Disease Outbreaks.” Frontiers in Veterinary Science 5(MAR). doi: 10.3389/fvets.2018.00047.
  • Prabhakaran, Harishankar. 2020. “Spread of the Novel Coronavirus (SARS-CoV-2): Modeling and Simulation of Control Strategies.” MedRxiv.
  • Rajakumari, K., and M. Madhunisha. 2020. “Intelligent and Convolutional-Neural-Network Based Smart Hospital and Patient Scheduling System.” in 2020 International Conference on Computer Communication and Informatics, ICCCI 2020.
  • Raman, Savithri, Leodoro J. Labrague, Judie Arulappan, Jansi Natarajan, Anandhi Amirtharaj, and Devakirubai Jacob. 2019. “Traditional Clinical Training Combined with High-Fidelity Simulation-Based Activities Improves Clinical Competency and Knowledge among Nursing Students on a Maternity Nursing Course.” Nursing Forum 54(3). doi: 10.1111/nuf.12351.
  • Regnante, Jeanne M., Nicole Richie, Lola Fashoyin-Aje, ..., and Moon S. Chen. 2020. “Operational Strategies in US Cancer Centers of Excellence That Support the Successful Accrual of Racial and Ethnic Minorities in Clinical Trials.” Contemporary Clinical Trials Communications 17. doi: 10.1016/j.conctc.2020.100532.
  • Ren, Yifan, Michael Phan, Phillip Luong, Jamin Wu, Daniel Shell, Christen D. Barras, Hong Kuan Kok, Moe Burney, Bahman Tahayori, Huey Ming Seah, Julian Maingard, Kevin Zhou, Anthony Lamanna, Ashu Jhamb, Vincent Thijs, Duncan Mark Brooks, and Hamed Asadi. 2020. “Geographic Service Delivery for Endovascular Clot Retrieval: Using Discrete Event Simulation to Optimize Resources.” World Neurosurgery 141. doi: 10.1016/j.wneu.2020.05.168.
  • Ribeiro, RA, EN Baungratz, G. Vaccaro, PS Schmitz, AK Fernandes, V. Colpani, and M. Falavigna. 2016. “Factors Influencing Door-To-Doctor Time In An Emergency Department: Discrete Event Simulation Model.” Value in Health 19(7). doi: 10.1016/j.jval.2016.09.1597.
  • Rollins, Christina, Emily Bailey, Jacqueline Gregoire, and Tim Milner. 2018. “Clinical Simulation Learning for Small-Bowel Feeding Tube Insertion.” Nutrition in Clinical Practice 33(2).
  • Römmele, C., T. Neidel, J. Heins, S. Heider, V. Otten, A. Ebigbo, T. Weber, M. Müller, O. Spring, G. Braun, M. Wittmann, J. Schoenfelder, A. R. Heller, H. Messmann, and J. O. Brunner. 2020. “Bed Capacity Management in Times of the COVID-19 Pandemic: A Simulation-Based Prognosis of Normal and Intensive Care Beds Using the Descriptive Data of the University Hospital Augsburg.” Anaesthesist 69(10). doi: 10.1007/s00101-020-00830-6.
  • Roy, Sumanta, Shanmugam Prasanna Venkatesan, and Mark Goh. 2020. “Healthcare Services: A Systematic Review of Patient-Centric Logistics Issues Using Simulation.” Journal of the Operational Research Society. doi: 10.1080/01605682.2020.1790306.
  • Rysava, Kristyna, and Michael Tildesley. 2019. “Cost-Effectiveness Analysis of One Health Surveillance Strategies for Rabies Control.” Online Journal of Public Health Informatics 11(1). doi: 10.5210/ojphi.v11i1.9783.
  • Salleh, Syed, Praveen Thokala, Alan Brennan, Ruby Hughes, and Andrew Booth. 2017. “Simulation Modelling in Healthcare: An Umbrella Review of Systematic Literature Reviews.” PharmacoEconomics 35(9).
  • Salman, Omar Hussein, Mohammed Imad Aal-Nouman, and Zahraa K. Taha. 2020. “Reducing Waiting Time for Remote Patients in Telemedicine with Considering Treated Patients in Emergency Department Based on Body Sensors Technologies and Hybrid Computational Algorithms: Toward Scalable and Efficient Real Time Healthcare Monitoring System.” Journal of Biomedical Informatics 112. doi: 10.1016/j.jbi.2020.103592.
  • Salmon, Andrew, Sebastian Rachuba, Simon Briscoe, and Martin Pitt. 2018. “A Structured Literature Review of Simulation Modelling Applied to Emergency Departments: Current Patterns and Emerging Trends.” Operations Research for Health Care 19.
  • Sánchez-Romero, Luz Maria, Joanne Penko, Pamela G. Coxson, Alicia Fernández, Antoinette Mason, Andrew E. Moran, Leticia Ávila-Burgos, Michelle Odden, Simón Barquera, and Kirsten Bibbins-Domingo. 2016. “Projected Impact of Mexico’s Sugar-Sweetened Beverage Tax Policy on Diabetes and Cardiovascular Disease: A Modeling Study.” PLoS Medicine 13(11). doi: 10.1371/journal.pmed.1002158.
  • Schaumann, Davide, Nirit Putievsky Pilosof, Michal Gath-Morad, and Yehuda E. Kalay. 2020. “Simulating the Impact of Facility Design on Operations: A Study in an Internal Medicine Ward.” Facilities 38(7–8). doi: 10.1108/F-10-2018-0132.
  • Shepherd, Irwyn, and Trish Burton. 2019. “A Conceptual Framework for Simulation in Healthcare Education — The Need.” Nurse Education Today 76. doi: 10.1016/j.nedt.2019.01.033. Shin, Seung Yeob, Yuriy Brun, Hari Balasubramanian, Philip L. Henneman, and Leon J. Osterweil. 2018. “Discrete-Event Simulation and Integer Linear Programming for Constraint-Aware Resource Scheduling.” IEEE Transactions on Systems, Man, and Cybernetics: Systems 48(9). doi: 10.1109/TSMC.2017.2681623.
  • Shrime, Mark G., Katherine R. Iverson, Rachel Yorlets, Sanam Roder-DeWan, Anna D. Gage, Hannah Leslie, and Address Malata. 2019. “Predicted Effect of Regionalised Delivery Care on Neonatal Mortality, Utilisation, Financial Risk, and Patient Utility in Malawi: An Agent-Based Modelling Analysis.” The Lancet Global Health 7(7). doi: 10.1016/S2214-109X(19)30170-6.
  • Stretton, Todd, Thomas Cochrane, and Vickel Narayan. 2018. “Exploring Mobile Mixed Reality in Healthcare Higher Education: A Systematic Review.” Research in Learning Technology 26. doi: 10.25304/rlt.v26.2131.
  • Sureshkumar, Venkatasamy, Ruhul Amin, V. R. Vijaykumar, and S. Raja Sekar. 2019. “Robust Secure Communication Protocol for Smart Healthcare System with FPGA Implementation.” Future Generation Computer Systems 100. doi: 10.1016/j.future.2019.05.058.
  • Syahrir, Irwan, Suparno, and Iwan Vanany. 2015. “Healthcare and Disaster Supply Chain: Literature Review and Future Research.” Procedia Manufacturing 4. doi: 10.1016/j.promfg.2015.11.007.
  • Şen, E., Körük, E., Serper, N., & Çalış Uslu, B. (2019). Big Data Analytics and Simulation for Better Strategic Management. Journal of Current Research on Engineering, Science and Technology, 5(2), 1-12.
  • Taboada, Manel, Eduardo Cabrera, Emilio Luque, Francisco Epelde, and M. Luisa Iglesias. 2013. “Modeling, Simulation and Optimization of Resources Management in Hospital Emergency Departments Using the Agent-Based Approach.” in Advances in Computational Modeling Research: Theory, Developments and Applications.
  • Thoma, Brent, Victoria Brazil, Jesse Spurr, Janice Palaganas, Walter Eppich, Vincent Grant, and Adam Cheng. 2018. “Establishing a Virtual Community of Practice in Simulation: The Value of Social Media.” Simulation in Healthcare 13(2). doi: 10.1097/SIH.0000000000000284.
  • Tilbrook, Ackland, Trudy Dwyer, Kerry Reid-Searl, and Judi A. Parson. 2017. “A Review of the Literature – The Use of Interactive Puppet Simulation in Nursing Education and Children’s Healthcare.” Nurse Education in Practice 22.
  • Uslu, Banu Çalış, Ertuğ Okay, and Erkan Dursun. 2020. “Analysis of Factors Affecting IoT-Based Smart Hospital Design.” Journal of Cloud Computing 9(1). doi: 10.1186/s13677-020-00215-5. Uslu, B. Ç., & Fırat, S. Ü. O. (2019). A comprehensive study on Internet of Things based on Key Artificial Intelligence Technologies and Industry 4.0. In Advanced Metaheuristic Methods in Big Data Retrieval and Analytics (pp. 1-26). IGI Global.
  • USLU, B. Ç. (2020). CAPABILITY MODEL AND COMPETENCE MEASURING FOR SMART HOSPITAL SYSTEM: AN ANALYSIS FOR TURKEY. International Journal of Health Services Research and Policy, 5(1), 41-50.
  • Valipoor, Shabboo, Mohsen Hatami, Hesamedin Hakimjavadi, Elif Akçalı, Wendy A. Swan, and Giuliano de Portu. 2020. “Data-Driven Design Strategies to Address Crowding and Boarding in an Emergency Department: A Discrete-Event Simulation Study.” Health Environments Research and Design Journal. doi: 10.1177/1937586720969933.
  • Wan, Wai Hin, and Angie Ho Yan Lam. 2019. “The Effectiveness of Virtual Reality-Based Simulation in Health Professions Education Relating to Mental Illness: A Literature Review.” Health 11(06). doi: 10.4236/health.2019.116054.
  • Welsch, Lauren A., Johanna Hoch, Rebecca Deal Poston, V. Andrea Parodi, and Muge Akpinar-Elci. 2018. “Interprofessional Education Involving Didactic TeamSTEPPS® and Interactive Healthcare Simulation: A Systematic Review.” Journal of Interprofessional Care 32(6). doi: 10.1080/13561820.2018.1472069.
  • Wilbanks, Bryan A., and Edwin N. Aroke. 2020. “Using Clinical Simulations to Train Healthcare Professionals to Use Electronic Health Records: A Literature Review.” Computers, Informatics, Nursing : CIN 38(11). doi: 10.1097/CIN.0000000000000631.
  • Yang, Kum Khiong, Sean Shao Wei Lam, Joyce M. W. Low, and Marcus Eng Hock Ong. 2016. “Managing Emergency Department Crowding through Improved Triaging and Resource Allocation.” Operations Research for Health Care 10. doi: 10.1016/j.orhc.2016.05.001.
  • Yang, Ying Ying, Ying Ying Yang, Ying Ying Yang, Ying Ying Yang, Ling Yu Yang, Ling Yu Yang, Fa Yauh Lee, Fa Yauh Lee, and Shinn Jang Hwang. 2019. “DAA-Based IIT Simulation Model Enhances the Interprofessional Collaboration and Team Efficiency Competency of Health Professionals.” Journal of the Chinese Medical Association 82(3). doi: 10.1097/JCMA.0000000000000024.
  • Yousefi, Milad, Moslem Yousefi, and Flavio S. Fogliatto. 2020. “Simulation-Based Optimization Methods Applied in Hospital Emergency Departments: A Systematic Review.” Simulation 96(10). doi: 10.1177/0037549720944483.
  • Zhang, Cevin, Thomas Grandits, Karin Pukk Härenstam, Jannicke Baalsrud Hauge, and Sebastiaan Meijer. 2019. “Correction to: A Systematic Literature Review of Simulation Models for Non-Technical Skill Training in Healthcare Logistics.” Advances in Simulation 4(1). doi: 10.1186/s41077-019-0094-9.
  • Zijlmans, Mariken, Carla D. Sá-Couto, Willem L. van Meurs, Jane A. Goodwin, and Peter Andriessen. 2009. “Corrected and Improved Model for Educational Simulation of Neonatal Cardiovascular Pathophysiology.” Simulation in Healthcare 4(1). doi: 10.1097/SIH.0b013e31818b27a8.
Toplam 129 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Endüstri Mühendisliği
Bölüm Derlemeler
Yazarlar

Ani Diana Kuyumcu Bu kişi benim 0000-0002-5167-1854

Banu Çalış Uslu 0000-0001-8214-825X

Yayımlanma Tarihi 30 Ekim 2021
Gönderilme Tarihi 28 Ağustos 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 1 Sayı: 3

Kaynak Göster

APA Kuyumcu, A. D., & Çalış Uslu, B. (2021). A REVIEW OF SIMULATION STUDIES IN HEALTHCARE: EMERGENCY SERVICE APPLICATIONS. Tasarım Mimarlık Ve Mühendislik Dergisi, 1(3), 148-162.