Page 249 - GHES-3-3

Global Health Economics and
Sustainability
Empirical resource allocation in healthcare

emphasis on allocation of human medical resources, (Ganguly et al., 2024). mHealth applications can
rather than medical equipment. Businesses should invest mitigate infrastructural constraints, enhance healthcare
more in healthcare education to be able to implement and accessibility for marginalized populations, and address
administer government health policies” (Raghupathi & the shortages of qualified health workers (Lamem et al.,
Raghupathi, 2023, p1052). 2024). The Internet facilitates the dissemination of new

Among the examined indicators, the distribution of medical knowledge and skills, fostering the exchange
hospital beds per 100,000 population in OECD countries of best practices and improving disease diagnosis. Big
most closely follows the Pareto distribution, suggesting a data analytics can enhance early disease detection,
structured hierarchical allocation (Yuan et al., 2024). outbreak control, and long-term surveillance of endemic
conditions (Nouhi, 2012). By integrating digital health
However, developed countries consistently maintain technologies, the competitive allocation of healthcare
an advantage in healthcare resource possession (Nayak resources is adjusted, mitigating market-driven
et al., 2021), winning the competition for specialized surgical disparities and promoting a more equitable distribution
workers, physicians, and hospital beds (Kumar & Schoenstein, of medical services across countries and population
2013). These disparities persist over time, contributing to groups.
the “depopulation of highly qualified specialists” in less
developed regions (Gailey, 2023). The economic efficiency Acknowledgments
of distributing limited healthcare resources remains a critical
challenge for the future (Sadovnichiy et al., 2024). None.
Less developed countries, forming the lower end of Funding
the rank-size dependence chart, experienced a deficit in
specialized surgical workers, physicians, and hospital beds None.
compared to the predicted values of the Pareto regression Conflict of interest
line (Hoyler et al., 2014). This indicates a greater unevenness
in the distribution of healthcare resources in these Mihajlo Jakovljevic is the Founding-Chief-Editor of this
countries. A similar deviation is observed at the upper end journal, but was not in any way involved in the editorial
of the curve for the most developed countries, highlighting and peer-review process conducted for this paper, directly
the uneven distribution of healthcare resources. or indirectly. Separately, other authors declared that they
have no known competing financial interests or personal
Inequalities in healthcare resource distribution
between countries can be reduced by integrating digital relationships that could have influenced the work reported
technologies into clinics and hospitals (da Silva et al., 2025). in this paper.
Telemedicine is becoming an important equalizer in terms Author contributions
of ensuring patients’ access to healthcare resources. The
demonstrated effectiveness of integrating healthcare and Conceptualization: All authors
telecommunication technologies proves the importance of Formal analysis: Elena Yagudina, Emil Valeev, Igor Kirshin
such approaches (Alanazi1 et al., 2021). Investigation: Elena Yagudina, Emil Valeev, Igor Kirshin
Methodology: Elena Yagudina, Emil Valeev, Igor Kirshin
The most notable advancements in treatment and
diagnostics are in the field of robotics and artificial Writing – original draft: All authors
Writing – review & editing: All authors
intelligence. Artificial neural networks used for big data
analysis, modern mobile health (mHealth) and electronic Ethics approval and consent to participate
health (eHealth) technologies have the potential to
improve the quality of medical services and reduce socio- Not applicable. This is a theoretical economics paper
economic inequality in terms of access to healthcare. without access to any private citizen data or clinical trials
Telemedicine and mHealth technologies enable remote with patients.
specialist consultations regardless of the patient’s location
and real-time health monitoring through wireless Consent for publication
telecommunication and mobile technologies. Not applicable.

Specialized intergovernmental programs can Availability of data
accelerate the diffusion of digital health technologies,
thereby reducing inequalities and facilitating access Data are available from the corresponding author on
to quality health services in less developed countries reasonable request.

Volume 3 Issue 3 (2025) 241 https://doi.org/10.36922/ghes.8283