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Abstract in RussianTechnology of trust: «Vaxi» – a modern vaccination solution DOI: 10.29188/2712-9217-2025-11-3-19-24
- Gircha A.Yu. – resident in Radiology, Russian Medical Academy of Continuous Professional Education (RMANPO) of the Ministry of Health of the Russian Federation, Moscow, Russia
- Uridin A.M. – LLC «PK DIMAKS»; Moscow Financial and Industrial University «Synergy», Moscow, Russia
- Zolotnitsyna V.D. – resident in Laboratory Genetics, Research Centre for Medical Genetics named after Academician N.P. Bochkov, Moscow, Russia
- Dmitrieva D.S. – 2nd-year Master’s Student, specialty 32.04.01 «Public Health», Pyatigorsk Medical and Pharmaceutical Institute – Branch of Volgograd State Medical University of the Ministry of Health of the Russian Federation, Pyatigorsk, Russia
- Aleshina L.V. – PhD, Associate Professor at the Department of Clinical Immunology and Allergology, Saratov State Medical University named after V.I. Razumovsky of the Ministry of Health of the Russian Federation, Saratov, Russia
- Korneeva D.A. – staff Member at the Department of Clinical Immunology and Allergology named after Professor N.G. Astafyeva, Saratov State Medical University named after V.I. Razumovsky of the Ministry of Health of the Russian Federation, Saratov, Russia
- Sidamonty N.A. – resident in Neonatology, Staff Member at the Department of Anesthesiology, Reanimatology, and Neonatology, M. Gorky Donetsk State Medical University, Donetsk, DPR.
54 Introduction. Vaccine prophylaxis remains an indispensable tool for controlling infectious morbidity. However, the global crisis of trust in vaccination, exacerbated by the "infodemic" and the spread of pseudoscientific data in the digital environment, poses a threat to biological safety. There is an urgent need to create verified digital tools for "doctor–patient" communication.
Objective. The development and implementation of a scientifically grounded digital tool (the «Vaxi» chatbot and information portal) to increase population adherence to immunization and reduce the burden on primary healthcare institutions.
Materials and Methods. A sociological study was conducted using an anonymous survey method (n=117), with the sample stratified by professional (medical/non-medical) and social (parents/childless) criteria. Software development was performed using the Python language with libraries for the Telegram API, while the web interface was implemented on the Tilda platform. An analysis of the market volume (TAM, SAM, SOM) and the competitive environment was conducted.
Results. It was established that 53.8% of respondents search for information about vaccines in unregulated search engines. A critical gap in the level of loyalty to vaccination was revealed between childless respondents (74.2% positive attitude) and parents (40%). 70% of respondents expressed trust in the medical chatbot format. The developed MVP (Minimum Viable Product) includes functions for informing users about the National Vaccination Calendar, emergency prophylaxis, and side effect tracking.
Conclusion. The implementation of the «Vaxi» chatbot represents an effective strategy for combating disinformation, allowing for the automation of routine consultations and the improvement of the population's medical literacy. The project's economic potential is confirmed by the possibility of saving medical personnel time.
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