Experience in organizing the provision of specialized medical care in a civilian hospital setting for individuals involved in the Special military operation

Опыт организации оказания специализированной медицинской помощи в гражданской больнице для лиц, участвующих в специальной военной операции
Sergey A. Orlov, VLADIMIR M. MANUYLOV, Aleksander N. Shcherbyuk, O.Yu. Aleksandrova, Valery O. Maslov, Yuri E. Ermolenko, Ilya V. Gerasimov
2026-01-15

algorithmic modelbed capacity optimizationcivil–military cooperationhospital repurposingmathematical modelsorganizational modelresource provisioningservice members with combat woundsspecialized inpatient caresystems approach
BACKGROUND: Contemporary armed conflicts demand rapid, effective civil-military integration to ensure full delivery of the most needed types of medical care. Despite compelling international experience with civil–military cooperation, there remains a need for scientifically grounded models and management tools adapted to Russian conditions that can promptly address this task under resource constraints. AIM: To present the experience of the Prof. V.N. Rozanov Pushkin Clinical Hospital in developing and implementing an organizational model for optimizing bed capacity and resource provisioning to deliver specialized inpatient care to individuals involved in the special military operation. MATERIALS AND METHODS: The study was conducted in two stages. First, an algorithmic model was developed to manage the processes of repurposing bed capacity and resource provisioning, complemented by a suite of mathematical models describing key managerial tasks. Second, the effectiveness of the implemented model was assessed by analyzing hospital operations after the organizational changes and repurposing. RESULTS: The proposed approach enabled effective adaptation to fluctuating patient inflow, rational use of existing infrastructure, and coordinated interaction across all hospital units. From December 2024 to June 2025, 900 patients – service members with combat wounds and injuries – were hospitalized. Implementation of the organizational model achieved a reduction in complications and no fatalities, despite the severity of cases. These results confirm the effectiveness and robustness of a systems approach, grounded in modern mathematical, analytical, and organizational tools, for ensuring hospital operations. CONCLUSIONS: The implemented organizational model demonstrated the effectiveness of civil–military cooperation under armed-conflict conditions and its potential for system-wide replication in other medical organizations providing specialized care to service members.
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An algorithmic organizational model was developed to manage repurposing of bed capacity and resource provisioning for specialized inpatient care of service members.
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From December 2024 to June 2025, the hospital hospitalized 900 service members with combat wounds and injuries under the implemented model.
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Implementation of the model correlated with a reduction in complications and no fatalities among treated service members, despite case severity.
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Mathematical models were created to describe key managerial tasks and support the repurposing and resource-allocation processes.
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The systems approach enabled effective adaptation to fluctuating patient inflow, rational use of existing infrastructure, and coordinated interaction across hospital units, and is potentially replicable in other medical organizations.

Organizational model for optimizing bed capacity and resource provisioning for specialized inpatient care of individuals involved in the special military operation at Prof. V.N. Rozanov Pushkin Clinical Hospital

Effectiveness and operational outcomes of the organizational model: adaptation to fluctuating patient inflow, rational use of infrastructure, coordination across hospital units, reduction in complications and mortality for hospitalized service members with combat wounds

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2026-01-15
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Sergey A. Orlov
VLADIMIR M. MANUYLOV
Aleksander N. Shcherbyuk
O.Yu. Aleksandrova
Valery O. Maslov
Yuri E. Ermolenko
Ilya V. Gerasimov
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