employee
student
student
The article discusses the current problem of suboptimal internal logistics in medical organizations in the Russian Federation, which leads to significant but often hidden economic losses. The main types of "invisible" costs associated with the movement of patients, personnel, materials, and information are analyzed. Special attention is paid to the potential of artificial intelligence (AI) technologies for solving these problems. Specific areas for applying AI algorithms are discussed, from intelligent scheduling and inventory management to predictive maintenance of equipment. Based on expert survey data, the article demonstrates the perception of the problem and the willingness of healthcare facility managers to implement innovations. The article concludes that digitalization of internal processes is a key reserve for improving the economic sustainability and quality of medical care in the face of increasing demands on the healthcare system.
internal logistics, medical organization, artificial intelligence (AI), cost savings, process management, digitalization of healthcare, resource optimization, and operational efficiency
1. Strategiya razvitiya zdravoohraneniya v Rossiyskoy Federacii na period do 2025 goda [Utverzhdena Ukazom Prezidenta RF]. – Opredelyaet klyuchevye zadachi cifrovizacii i povysheniya operacionnoy effektivnosti LPU kak gosudarstvennyy prioritet.
2. Kantemirova M. A., Hadarcev A. Ch., Hubaeva A. A. Nacional'nyy proekt «Kadry». Ego realizaciya v regionah Severo-Kavkazskogo Federal'nogo okruga // JOURNAL OF MONETARY ECONOMICS AND MANAGEMENT. 2025. №. 2. S. 317-323. DOI: https://doi.org/10.26118/2782-4586.2025.78.45.097
3. Nacional'naya strategiya razvitiya iskusstvennogo intellekta na period do 2030 goda (Ukaz Prezidenta RF № 490 ot 10.10.2019). – Sozdaet normativnuyu osnovu i zadaet napravleniya dlya vnedreniya II v prikladnyh sferah, vklyuchaya zdravoohranenie.
4. Popova A.S., Kovalev S.V. Ocenka ekonomicheskih poter' ot neoptimal'nyh vnutrennih potokov v mnogoprofil'nom stacionare // Ekonomika zdravoohraneniya. – 2020. – № 5(158). – S. 45-52. – Empiricheskoe issledovanie, kolichestvenno ocenivayuschee logisticheskie izderzhki v rossiyskih LPU.
5. Associaciya IISZ. Obzor rynka II v zdravoohranenii Rossii – 2023. – M., 2023. – Soderzhit aktual'nye dannye, keysy vnedreniya i analiz trendov, vklyuchaya optimizaciyu logistiki i upravleniya resursami.
6. Ekspertno-analiticheskiy otchet «Bar'ery vnedreniya cifrovyh tehnologiy v gosudarstvennyh medicinskih organizaciyah». – Fond CSR, 2021. – Klyuchevoy istochnik dlya razdela o vospriyatii i prepyatstviyah, osnovannyy na ekspertnyh interv'yu i analize.
7. Suncov K.Yu., Vodop'yanov N.A. Berezhlivoe proizvodstvo v klinike: kak ustranit' poteri i povysit' effektivnost'. – M.: Al'pina Pablisher, 2021. – 256 s.
8. Ivanov D.Ya., Petrova L.N. Algoritmy mashinnogo obucheniya dlya intellektual'nogo planirovaniya lechebno-diagnosticheskogo processa // Informacionnye tehnologii. – 2023. – T. 29, № 1. – S. 34-42.
9. Smirnov E.N., Kalinin D.V. Sistemy prediktivnogo obsluzhivaniya medicinskoy tehniki na osnove interneta veschey i iskusstvennogo intellekta: ekonomicheskoe obosnovanie // Medicinskaya tehnika. – 2021. – № 6(336). – S. 12-18.
10. Kantemirova M. A., Bedoeva D. S., Dulaeva D. A. Realizaciya nacional'nogo proekta «Kadry» v regionah Severo-Kavkazskogo Federal'nogo okruga // JOURNAL OF MONETARY ECONOMICS AND MANAGEMENT. 2025. №. 2. S. 310-316. DOI: https://doi.org/10.26118/2782-4586.2025.17.64.096 (data obrascheniya: 18.12.2025).



