Evaluation of the implementation of the organizational model for providing medical care to patients with pharyngeal mycosis in a pilot region

Objective. To evaluate the results of implementing an organizational model of early detection, diagnosis and treatment of pharyngeal mycosis associated with respiratory diseases.

Materials and methods. Evaluation of the implementation of an organizational model for providing medical care to patients with pharyngeal mycosis associated with respiratory diseases was conducted from September to December 2025 at the clinical base of the Dobrush Central District Hospital (hereinafter referred to as DCDH). The model includes an organizational algorithm of medical measures for early detection and diagnosis of pharyngeal mycosis in accordance with the joint order “On Improving Measures for Early Detection and Diagnosis of Pharyngeal Mycosis” issued by Gomel State Medical University (GomSMU) No. 350, and the Main Department of Healthcare of the Gomel Regional Executive Committee (MDH) No. 1031 dated July 22, 2025, using the artificial intelligence (AI) clinical decision support system “FaringoBot”. Clinical methods (otolaryngological examination, pharyngoscopy, microbiological and microscopic examination of pharyngeal secretions), medico-sociological methods (sociological survey of healthcare workers, patient questionnaires), as well as methods of medical analysis and statistical data processing were applied to assess the results of the algorithm’s implementation in the pilot region.

Results. The organizational model has been introduced and successfully implemented in the pilot region. This model includes the organizational algorithm “Algorithm of Organizational Measures for Early Detection and Diagnosis of Pharyngeal Mycosis Associated with Respiratory Diseases” utilizing the AI-powered clinical decision support system assistant “FaringoBot”.

Conclusion. The pilot project has demonstrated successful implementation and execution of the organizational model that includes organizational algorithm for medical treatments for early detection and diagnosis of pharyngeal mycosis, using the intelligent clinical decision support system AI assistant “FaringoBot” in medical practice expressed with statistically significant indicators in clinical practice. This organizational model was approved by the medical community.

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