Digital twin virtual hospitals and rural health disparities: a six-country comparative study (2018–2024)

Background Rural health disparities are currently affecting 3.3 billion people worldwide. This study assesses the effectiveness of digital twin virtual hospitals in reducing rural health disparities. Methods We examined health outcomes in six countries (United States, Australia, China, Brazil, India, Rwanda) between 2018 and 2024, employing fixed-effects panel models to evaluate the effect of digital health interventions on the Rural–Urban Mortality Ratio (RMR) and the gap in the management of chronic diseases. Results The average reduction in rural/urban health inequality was 29.6%. For each unit of investment in digital health, the RMR was associated with a decrease of 2.14 percentage points ( p < 0.001). Diminishing marginal returns occurred beyond the investment of $50 per capita. Lower-income countries achieved greater cost-efficiency, with Rwanda’s ROI of 1:5.2 compared to the United States’s 1:2.3. Three distinct implementation models were identified: technology-driven (United States, Australia), system integration (China), and leapfrog development (India, Rwanda). Conclusion Digital twin virtual hospitals are associated with reductions in rural health disparities, potentially through predictive and personalized health strategies. Findings suggest that successful implementation depends more on contextually appropriate technology selection than on technological sophistication alone.