SYSTEM DYNAMICS MODELING FOR OPTIMIZING HEALTHCARE PROCESSES IN DIGITAL MEDICINE

Authors

  • Maxsudov Valijon Gafurjonovich
  • Arzikulov Fazliddin Faxriddin o‘g‘li Associate Professor, Department of Biomedical Engineering, Informatics and Biophysics, Tashkent State Medical University, Tashkent State Medical University

DOI:

https://doi.org/10.17605/

Keywords:

System dynamics, digital medicine, healthcare process optimization, patient flow modeling, resource management, simulation modeling, workflow efficiency, predictive healthcare, process improvement, data-driven decision-making.

Abstract

System dynamics modeling offers a comprehensive approach to optimize healthcare processes in digital medicine by simulating complex interactions among resources, patient flow, and treatment pathways. This study presents a system dynamics framework that integrates electronic health records, digital monitoring data, and workflow analytics to identify bottlenecks, resource inefficiencies, and delays in patient care. Simulation results demonstrate that process adjustments based on model insights can significantly improve healthcare efficiency, reduce waiting times, and enhance patient outcomes. The proposed approach supports decision-makers in implementing data-driven strategies, enabling adaptive and proactive management of healthcare delivery. This research contributes to advancing digital medicine through systematic, predictive, and scalable process optimization.

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Published

2025-05-31

Issue

Vol. 6 No. 5 (2025): wos

Section

Articles

License

Copyright (c) 2026 Web of Scientist: International Scientific Research Journal

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.