An empirical study of blockchain-based healthcare data security, transaction verification and resource allocation efficiency

Healthcare organizations face persistent challenges in data security, transaction reliability, interoperability, and efficient resource allocation, especially in complex multi-hospital digital environments. Blockchain has been proposed as a secure decentralized solution; however, limited empirical research exists on its effectiveness in healthcare operational data. This study examined the extent to which blockchain improves data security, transaction reliability, and resource allocation efficiency in a real-world multi-hospital environment. It also assessed whether blockchain performance parameters significantly influence resource allocation outcomes. A descriptive-correlational design was used, analyzing 500 anonymized blockchain transaction records from five hospital nodes. Data were processed using SPSS with descriptive statistics, Pearson correlation, ANOVA, and multiple linear regression. Resource Allocation Score served as the dependent variable, while Aggregation Time, Bandwidth, Latency, Data Size, and Local Epochs were independent variables. Statistical significance was set at α = 0.05. Results indicated high system stability and strong security controls across all nodes, with balanced participation rates (18.2%–22.4%). Transaction management was effective through classification into verified, blocked, granted, and denied categories. Inferential analysis showed a statistically significant overall effect of blockchain performance parameters on resource allocation (F = 2.476, p = .031), although explanatory power was low (R² = .024). Among predictors, only Aggregation Time had a significant effect (p = .002), highlighting its importance in optimizing resource allocation.