METHODOLOGICAL SUPPORT FOR AGILE RESOURCE REALLOCATION IN A MULTI-PROJECT HEALTHCARE ENVIRONMENT

Main Article Content

Nataliia Dotsenko
Igor Chumachenko
Andriy Bondarenko
Dmytro Chumachenko

Abstract

The organization of medical assistance in de-occupied territories and territories close to combat activities necessitates reorganizing the existing medical system, making the task of developing methodological support for Agile-redistribution of resources in a multi-project medical environment relevant. The article aims to develop a methodological framework for Agile redistribution of resources in the medical environment. Research results & conclusions. In the paper, the issue of resource reallocation in a multi-project healthcare environment is examined. A methodological framework for Agile redistribution of human resources in a healthcare setting has been developed, which is based on the use of donor-acceptor interaction. An Agile method of resource redistribution in a multi-project healthcare environment has been developed, enabling healthcare facilities to be provided with resources, taking into account the principles of resilience, adaptability, and functional reservation. A model of the Agile resource redistribution process (IDEF0) has been constructed. The use of a scenario approach to ensure Agile resource redistribution is considered. The main scenarios for redistribution have been identified. An IDEF3 model of the resource redistribution process (scenario approach) has been developed. An example of applying the developed methodological framework for conducting Agile redistribution of human resources in a healthcare environment is considered. The use of the developed support for the selected example allowed for the selection of a redistribution option that meets the defined reservation requirements, taking into account the chosen scenario.

Article Details

How to Cite
Dotsenko, N., Chumachenko , I. ., Bondarenko , A. ., & Chumachenko , D. . (2023). METHODOLOGICAL SUPPORT FOR AGILE RESOURCE REALLOCATION IN A MULTI-PROJECT HEALTHCARE ENVIRONMENT. Advanced Information Systems, 7(4), 86–93. https://doi.org/10.20998/2522-9052.2023.4.12
Section
Applied problems of information systems operation
Author Biographies

Nataliia Dotsenko, O.M. Beketov National University of Urban Economy in Kharkiv, Kharkiv

Doctor of Technical Sciences, Professor, Professor of Project Management in Urban Management and Construction Department

Igor Chumachenko , O.M. Beketov National University of Urban Economy in Kharkiv, Kharkiv

Doctor of Technical Sciences, Professor, Head of Project Management in Urban Management and Construction Department

Andriy Bondarenko , Kharkiv National Medical University, Kharkiv

Doctor of Medical Sciences, Professor, Professor of Infectious Diseases Department

Dmytro Chumachenko , National Aerospace University “Kharkiv Aviation Institute”, Kharkiv

Candidate of Technical Sciences, Associate Professor, Associate Professor of Mathematical Modelling and Artificial Intelligence Department

References

Govindan, K., Kannan, D., Jorgensen, T.B. and Nielsen, T.S. (2022), “Supply Chain 4.0 performance measurement: A systematic literature review, framework development, and empirical evidence”, Transportation Research Part E: Logistics and Transportation Review, Vol. 164, 102725, doi: https://doi.org/10.1016/j.tre.2022.102725

Tortorella, G., Fogliatto, F.S., Gao, S. and Chan, T.-K. (2022), “Contributions of Industry 4.0 to supply chain resilience”, The International Journal of Logistics Management, Vol. 33 No. 2, pp. 547-566, doi: https://doi.org/10.1108/IJLM-12-2020-0494

Hammou, I.A., Oulfarsi, S., Hebaz, A., Mahmah, S., Cherrafi, A. (2023), “Lean, Green, Resilient Supply Chain and Sustainable Performance: Practices and Measruesements Review”, Azrar, L., et al. Advances in Integrated Design and Production II. CIP 2022, Lecture Notes in Mechanical Engineering, Springer, Cham, doi: https://doi.org/10.1007/978-3-031-23615-0_7

Fu, W., Jing, S., Liu, Q. and Zhang, H. (2023), “Resilient Supply Chain Framework for Semiconductor Distribution and an Empirical Study of Demand Risk Inference”, Sustainability, Vol. 15, Is. 9, 7382, doi: https://doi.org/10.3390/su15097382

Gupta, A., Pachar, N., Jain, A., Govindan, K. and Jha, P.C. (2023), “Resource Reallocation Strategies for Sustainable Efficiency Improvement of Retail Chains”, Journal of Retailing and Consumer Services, Vol. 73 (C), 103309, doi: https://doi.org/10.1016/j.jretconser.2023.103309

WHO (2016), Global strategy on human resources for health: workforce 2030, World Health Organization, Geneva, available at: http://apps.who.int/iris/bitstream/10665/250368/1/9789241511131-eng.pdf

WHO (2020), Thirteenth general programme of work (GPW13): methods for impact measurement. [Licence: CC BY-NC-SA3.0 IGO], World Health Organization, Geneva, available at: https://www.who.int/publications/i/item/9789240012776

Paulo, F., Uta, L., Eszter, K. and Dal, P.M. (2022), “Relevant HRH leadership during public health emergencies”, Human Resources for Health, Vol. 20, Is. 1, pp. 1–4, doi: https://doi.org/10.1186/s12960-022-00723-2

Cavada Fehn, A/, Poz Mario, Tursunbayeva, A., Mathews, V., Ernawati, D. and Meilianti, S. (2022), “Chapter 15: Human resource for health information systems: development, implementation and use”, Strengthening the collection, analysis and use of health workforce data and information, World Health Organization, Geneva, pp. 266–287, available at: https://www.researchgate.net/publication/367464830_Chapter_15_Human_resource_for_health_information_systems_development_implementation_and_use

Yu, Y., Baird, K.M. and Tung, A. (2021), “Human resource management in Australian hospitals: the role of controls in influencing the effectiveness of performance management systems”, Int. J. Hum. Resour. Manag., Vol. 32, Is. 4, pp. 920–947, doi: https://doi.org/10.1080/09585192.2018.1511618

Mahdavi, A., Atlasi, R., Ebrahimi, M. and Naemi, R. (2023), “Human resource management (HRM) strategies of medical staff during the COVID-19 pandemic,” Heliyon, Vol. 9, Is. 10, e20355, doi: https://doi.org/10.1016/j.heliyon.2023.e20355

Buljac-Samardzic, M., Doekhie, K.D. and vanWijngaarden, J.D.H. (2020), “Interventions to Improve Team Effectiveness within Health Care: A Systematic Review of the Past Decade”, Human Resources for Health, Vol. 18, Is. 2, doi: https://doi.org/10.1186/s12960-019-0411-3

Cheng, J., Kuang, X. and Zeng, L. (2022), “The impact of human resources for health on the health outcomes of Chinese people”, BMC Health Serv. Res., Vol. 22, Is. 1, pp. 1–13, doi: https://doi.org/10.1186/s12913-022-08540-y

Berni, A., Moschera, L. and Tursunbayeva, A. (2023), “Artificial Intelligence in Human Resource Management: Objectives and Implications”, Impact of Artificial Intelligence in Business and Society: Opportunities and Challenges, pp. 85–104, doi: https://doi.org/10.4324/9781003304616-7

Amiri, M, Al Nsour, M., Alonso-Garbayo, A., Al Serouri, A., Maiteh, A. and Badr, E. (2022), “Health System Resilience in the Eastern Mediterranean Region: Perspective on the Recent Lessons Learned Interact”, J Med Res, Vol. 11, Is. 2, e41144, doi: https://doi.org/10.2196/41144

Boniol, M, Kunjumen, T, Nair, T.S., Siyam, A., Campbell, J. and Diallo, K. (2022), “The global health workforce stock and distribution in 2020 and 2030: a threat to equity and ‘universal’ health coverage?”, BMJ Global Health, Vol. 7, Is. 6, e009316, doi: https://doi.org/10.1136/bmjgh-2022-009316

Tursunbayeva, A. (20190, “Human resource technology disruptions and their implications for human resources management in healthcare organizations”, BMC Health Serv. Res., Vol. 19, Is. 1, pp. 1–8, doi: https://doi.org/10.1186/s12913-019-4068-3

Zachko, O., Kovalchuk, O., Kobylkin, D. and Yashchuk, V. (2021), “Information Technologies of HR Management in Safety-Oriented Systems”, Proceedings of the International Scientific and Technical Conference on Computer Sciences and Information Technologies, Lviv, Ukraine, 22–25 September 2021, doi: https://doi.org/10.1109/CSIT52700.2021.9648698

Zvirych, V.V. (2022), “Public management system in the field of healthcare: structure, classification and features”, Таuridа Scientific Herald. Series: Public Management and Administration, Vol. 2, pp. 49-56, doi: https://doi.org/10.32851/tnv-pub.2022.2.7

Bertone, M.P., Martins, J.S., Pereira, S.M., Martineau T. and Alonso-Garbayo A. (2018), “Understanding HRH recruitment in post-conflict settings: an analysis of central-level policies and processes in Timor-Leste (1999–2018)”, Hum Resour Health, Vol. 16, Article number 66 (2018), doi: https://doi.org/10.1186/s12960-018-0325-5

Akulov, Y., Demianenko, Z., Shevchenko, M. and Chaschina, I. (2022), Survey Results Current Issues of Management Human Capital in Ukraine, available at: https://www2.deloitte.com/content/dam/Deloitte/ua/Documents/Press-release/amcham-2022-deloitte-human-capital-research_ua.pdf

Akulov, Y., Demianenko, Z., Krylova, A. and Lyudogovska, K. (2023), A Survey of the Impact of War on Approaches to Human Capital Management, available at: https://www2.deloitte.com/content/dam/Deloitte/ua/Documents/Press-release/AmCham-Deloitte-Survey-on-impact-of-war-on-HC-ENG.pdf

Dotsenko, N., Chumachenko, D., Chumachenko, I., Galkin, A., Lis, T. and Lis, M. (2021), “Conceptual Framework of Sustainable Management of the Process of Forming a Project Team with Functional Redundancy”, Energies, Vol. 14, Is. 24, 8235, doi: https://doi.org/10.3390/en14248235

Dotsenko, N., Chumachenko, D., Husieva, Y., Kosenko, N. and Chumachenko, I. (2022), “Sustainable Management of Healthcare Settings’ Personnel Based on Intelligent Project-Oriented Approach for Post-War Development”, Energies, Vol. 15, Is. 22, 8381, doi: https://doi.org/10.3390/en15228381

https://www2.scopus.com/record/display.uri?eid=2-s2.0-85142748027&origin=resultslist&sort=plf-f

Dotsenko, N., Chumachenko, I., Galkin, A., Kuchuk, H. and Chumachenko, D. (2023), “Modeling the Transformation of Configuration Management Processes in a Multi-Project Environment”, Sustainability, Vol. 15, Is. 19, 14308, doi: https://doi.org/10.3390/su151914308