A.I. Burnasyan  FMBC clinical bulletin. 2025 № 4

L.V. Kalinina

Specifics of Organizing Rehabilitation Measures in a Specialized Tuberculosis Sanatorium

Federal State Budgetary Institution “Tuberculosis Sanatorium ‘Golubaya Bukhta’ of the Ministry of Health of Russia”, Gelendzhik, Russian Federation

Contact person: Kalinina Lyudmila Vasilievna: ivanovagolubayabuhta@yandex.ru

 

Abstract
Relevance: this article presents the concept of developing an individual program of rehabilitation treatment for patients with tuberculosis in a specialized sanatorium. The 4P-medicine concept being implemented in the country provides for an individualized approach to each patient at each of his visits for medical care. The concept includes all options for preventive, therapeutic and rehabilitation measures for any diseases and pathological conditions. The implementation of the concept in the phthisiatric service is the creation of an effective individualized model of the trajectory of treatment and rehabilitation of patients with various variants of tuberculosis infection, which usually occurs with a “bouquet” of concomitant pathologies. The trajectory was understood as an objective, scientifically based complex of treatment and rehabilitation actions, which, with the existing resource provision in conditions of polymorbidity, allows us to reach the construction of adequate and effective therapy. A medical decision support system developed using machine learning technologies was used to build a model for the rehabilitation of patients.

Aim: to evaluate the possibility of creating an individual rehabilitation program for patients in conditions of polymorbidity using machine learning methods based on real data from a tuberculosis sanatorium.

Materials and methods: materials and methods. A cohort of patients in the amount of 450 people who underwent the III stage of rehabilitation in a tuberculosis specialized sanatorium. To build a model for the rehabilitation of patients, a medical decision support system developed using machine learning technologies was used.

Result: based on the incoming parameters of patients, the results of laboratory and instrumental research methods, it was possible to form an individual model of rehabilitation of patients using a medical decision support system built on the basis of machine learning methods.

Conclusion: topical issues of organizing rehabilitation care for patients with tuberculosis require further study and improvement. The developed automated medical decision support system, based on artificial intelligence technologies, made it possible to differentiate which of the procedures prescribed in conditions of polymorbidity have the maximum health-improving effect.

Keywords: rehabilitation of tuberculosis patients, machine learning, sanatorium treatment, tuberculosis sanatorium

For citation: Kalinina LV. Specifics of Organizing Rehabilitation Measures in a Specialized Tuberculosis Sanatorium. A.I. Burnasyan Federal Medical Biophysical Center Clinical Bulletin. 2025.4:24-30. (In Russian) DOI: 10.33266/2782-6430-2025-4-24-30

 

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Conflict of interest. The authors declare no conflict of interest.
Financing. The study had no sponsorship.
Contribution. Article was prepared with equal participation of the authors.
Article received: 27.07.2025. Accepted for publication: 30.09.2025