International Journal of Medical and All Body Health Research  |  e-ISSN: 2582-8940  |  Double-Blind Peer Review  |  Open Access  |  CC BY-NC-SA 4.0

Current Issues
     2026:7/4

International Journal of Medical and All Body Health Research

e-ISSN: 2582-8940 | Open Access

Multiagent AI Systems in Healthcare: A Comparative Study of Nigerian and Russian Healthcare Systems

Obaro Princewill Idogho, Konstantin Koshechkin, Darlington Chukwuma Ugwu, Emmanuel Friday Abraham, Sakina Abubakar, Chukwuemeka Kandudi Monago, Joy Aifuobhokhan, Oloche Victor Udoh

Public Health Administration, First Moscow State University, I.M Sechenova, Street, Building 2, 119991, Russian Federation; Center for Digital Medicine, First Moscow State University, I.M Sechenova, Street, Building 2, 119991, Russian Federation; Department of Pathology, University of Witwatersrand, 29, Princess of Wale Terrace Parktown, Johannesburg, 2092, South Africa; Department of Nursing Science, University of Calabar, 1115, Calabar Cross River State, 540271, Nigeria; Department of Nursing Science, General Hospital Funtua, General Hospital Funtua, Off Zaria Road, Funtua LGA, 830101, Katsina State, Nigeria; Medicine and Surgery, Delta State Secretariat Clinic, Mariam Babangida Road, Central Core Area, Asaba, Delta State, 320108, Nigeria; Digital Health and Research, Lakeshore Cancer Center,14, Amodu Tijani Close, Victoria Island, Lagos State, 101241, Nigeria; Department of Biochemistry, Bayero University Kano, 3011, Gwarzo Road, Kano State, 700006, Nigeria

Article Information

Volume / Issue7 / 1 (January-March 2026)
Pages100-106
AccessOpen Access

Publication Timeline

  • Received18 November 2025
  • Accepted20 December 2025
  • Published

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Abstract

Multi-Agent AI systems (MAS) have transformative healthcare potentials. However, as a result of different approaches, policies, infrastructural and socio-political challenges, varied applications of MAS have appeared across several countries. This mixed-methods comparative study of MAS application in Nigeria (Lagos) and Russia (Moscow) dives into differing issues such as infrastructural preparedness, legal policies and actual implementation. Whereas Moscow has an advanced healthcare system that employs MAS in telemedicine and preventive medicine, surgeries (such as Da Vinci systems), Lagos implements MAS in diagnosis and EHR (electronic health record system) integration, which could be referred to as foundational applications. This study highlights main adoption challenges, including funding hurdles, gaps in operability and sociocultural resistance, while presenting solutions for improvement- such as FHIR (Fast Healthcare Interoperability Resources) standards in Nigeria and federated learning pilots in Russia. The study further dives into on how government policies, digital literacy, and local innovation ecosystems shape the effectiveness of MAS adoption in both settings. Lagos and Moscow were chosen as case studies as they are national health and economic innovation hubs, and both locations have remarkable models to emulate for new e-healthcare economies. By reviewing outcomes (efficiency, reduced errors) with qualitative insights (methods), this study could prove a suitable blueprint for implementing and optimizing MAS across a plethora of healthcare systems, with a view to a broader African and Eurasian adoption.

Keywords

HealthcarePolicyPreventive medicineMultiagent AINigeriaRussiaTelemedicine

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How to Cite

Idogho, O. P., Koshechkin, K., Ugwu, D. C., Abraham, E. F., Abubakar, S., Monago, C. K., Aifuobhokhan, J., & Udoh, O. V. (2026). Multiagent AI Systems in Healthcare: A Comparative Study of Nigerian and Russian Healthcare Systems. International Journal of Medical and All Body Health Research, 7(1), 100-106. https://doi.org/10.54660/IJMBHR.2026.7.1.100-106

Idogho, Obaro Princewill, et al. "Multiagent AI Systems in Healthcare: A Comparative Study of Nigerian and Russian Healthcare Systems." International Journal of Medical and All Body Health Research, vol. 7, no. 1, 2026, pp. 100-106. https://doi.org/10.54660/IJMBHR.2026.7.1.100-106.

Idogho, O. P., Koshechkin, K., Ugwu, D. C., Abraham, E. F., Abubakar, S., Monago, C. K., Aifuobhokhan, J. and Udoh, O. V. (2026) 'Multiagent AI Systems in Healthcare: A Comparative Study of Nigerian and Russian Healthcare Systems', International Journal of Medical and All Body Health Research, 7(1), pp. 100-106. doi: 10.54660/IJMBHR.2026.7.1.100-106.

Idogho OP, Koshechkin K, Ugwu DC, Abraham EF, Abubakar S, Monago CK, et al. Multiagent AI Systems in Healthcare: A Comparative Study of Nigerian and Russian Healthcare Systems. International Journal of Medical and All Body Health Research. 2026;7(1):100-106. doi:10.54660/IJMBHR.2026.7.1.100-106

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