№2, 2024
In modern times, the use of information technologies in the automation of emergency medical care processes is of great importance. This study offers the application of cyber-physical geosystems to optimize and improve emergency medical care processes using geospatial information. Moreover, it presents the methodology of creating cyber-physical geosystems including the collection, analysis, monitoring and integration of geospatial data into medical information systems and the application of telemedicine. The main goal of cyber-physical geosystems is to increase the efficiency of patient care in emergency situations. Real-time monitoring of the patient in the ambulance by a doctor-expert is very important during the transportation of the patient from the scene of the incident or from the medical institution to the hospital equipped with modern equipment. Consequently, medical experts can give emergency doctors important instructions about the patient in time. This results in a reduction in response time in emergency situations and an improvement in the quality of medical care. This article discusses the importance, limitations, and advantages of using the technologies of cyber-physical geosystems in the context of modern emergency medical care. Correspondingly, it analyzes the advantages and limitations of the system, its expansion and improvement methods. The results of this study highlight the successful implementation of cyber-physical geosystems in different regions. In this regard, it recommends the necessity of joint cooperation with the state and medical institutions (pp.88-93).
Ayfer Başar, Bülent Çatay, Tonguç Ünlüyurt (2011). “A taxonomy for emergency service station location problem,” Optimization Letters, 6(6), 1147–1160,https://doi.org/10.1007/s11590-011-0376-1
A.Ingolfsson, S. Budge, and E. Erkut (2008). “Optimal ambulance location with random delays and travel times,” Health Care Management Science, 11(3), 262–274,. http://dx.doi.org/10.1007/s10729-007-9048-1
Anar F. Samidov, Zulfiya R. Hanifayeva (2019). The state-of-the-art of 3d technologies and their development perspectives // Problems of Information Society, 10(1), 77–85, DOI: 10.25045/jpis.v10.i1.08
Anderson, M. P., & White, S. K. (2018). "Optimizing Ambulance Routing in Urban Areas: A Case Study of New York City". Journal of Emergency Medical Services, 40(2), 85-97.
B.M. Farmer (2016). “Patient Safety in the EmergencyDepartment,” Emergency Medicine, 48(9), 397–404.
Brotcorne, L.; Laporte, G.; Semet, F. Ambulance location and relocation models. Eur. J. Oper. Res. 2003, 147, 451–463.
Brown, L. K., & Martinez, E. (2019). "The Role of Cyber-Physical Systems in Modern Emergency Medical Response." International Journal of Health Technology, 12(4), 521-536.
E.Park, J. H. Kim, H. S. Nam, and H. J. Chang (2018). “Requirement Analysis and Implementation of SmartEmergency Medical Services,” IEEE Access, 6, 42022–42029, https://ieeexplore.ieee.org/document/8423628
Frazzona E.M., Hartmannb J., Makuschewitzb T., Scholz-Reiterc B. (2013). Towards Socio-CyberPhysical Systems in Production Networks / Proceedings of the Forty Sixth CIRP Conference on Manufacturing Systems, 49–54.
G.Erdoan, E. Erkut, A. Ingolfsson, and G. Laporte (2010). “Scheduling ambulance crews for maximum coverage,” Journal of the Operational Research Society, 61, 543-550.
Garcia, R. A., & Patel, N. S. (2017). "Telemedicine in Prehospital Emergency Care: A Review of Current Technology and Research." Prehospital Emergency Care, 32(1), 112-125.
Gunes, A.E. and Kovel, J.P. (2000) Using GIS in Emergency Management Operations. Journal of Urban Planning and Development, 126, 136-149.
http://www.sciencedirect.com/science/article/pii/S0143622811002360
Irada Y. Alakbarova (2020). The role of cyber-physical systems in Industry 4.0. Journal of Problems of Information Technology, 11(2), 91–101.
Irada Y. Alakbarova (2023). “Development of a model for the analysis of human behavior in a smart home environment” Problems of Information Society, 14(1), 75-84
J.Aubin (1992). “Scheduling ambulances,” Interfaces, 22, (2), 1 –10.
Johnson, D. W., & Smith, P. R. (2016). "Geospatial Information Systems in Emergency Medicine: Applications and Challenges." Emergency Medicine Journal, 28(6), 483-496.
Lerner, E.B., et al. (1999) Use of a Geographic Information System to Determine Appropriate Means of Trauma Patient Transport. Academic Emergency Medicine, 6, 1127-1133.
Mohammad Hosseini, Yu Jiang, Poliang Wu, Richard B. Berlin Jr., Shangping Renx, Lui Sha (2016). “A Pathophysiological Model-Driven Communication for Dynamic Distributed Medical Best Practice Guidance Systems” Journal of Medical Systems, 40 article number 227, DOI:10.1007/s10916-016-0583-5
P.Sorensen and R. Church (2010). “Integrating expected coverage and local reliability for emergency medical serviceslocation problems.” Socio-Economic Planning Sciences, 44(1), 8–18.
http://www.sciencedirect.com/science/article/pii/S0038012109000214
P.Yin and L. Mu (2012). “Modular capacitated maximal covering location problem for the optimal siting of emergency vehicles,” Applied Geography, 34, 247 – 254
Parisasadat Shojaei, Elena Vlahu-Gjorgievska, Yang-Wai Chow, Security and Privacy of Technologies in Health Information Systems: A Systematic Literature Review, Computers 2024, 13(2), 41; https://doi.org/10.3390/computers13020041
Rasim M. Alguliyev, Rasim Sh. Mahmudov (2011). The Internet of Things: essence, potentials and problems // Problems of Information Society, 2(4), 29-40.
S.Chanta, M. E. Mayorga, and L. A. McLay (2011). “Improving emergency service in rural areas: a bi-objective covering location model for ems systems,” Annals of Operations Research, 221(1), 133–159.
http://dx.doi.org/10.1007/s10479-011-0972-6
Sarandis Mitropoulos, Christos Mitsis, Petros Valacheas and Christos Douligeris. "An online emergency medical management information system using mobile computing Sarandis Mitropoulos" Journal of Applied Computing and Informatics. ISSN: 2634-1964, DOI:10.1108/ACI-03-2021-0069
Smith, J. A., & Johnson, B. R. (2020). "Integration of Geospatial Data in Emergency Medical Services: A Review." Journal of Health Geography, 25(3), 345-362.
V. Schmid and K. F. Doerner (2010). “Ambulance location and relocation problems with time-dependent travel times,” European Journal of Operational Research, 207(3), 1293–1303,
http://www.sciencedirect.com/science/article/pii/S0377221710004728
Yadigar N. Imamverdiyev (2021). On topical scientific and theoretical problems of geographic information systems in the big data environment Journal of Problems of Information Society, 12(2), 38–51, DOI: 10.25045/jpis.v12.i2.03
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