The resistance to federated learning and blockchain-based medical data sharing protocols in hospitals stems from several core issues. First, hospitals prioritize patient data privacy, and despite blockchain's security, concerns persist about vulnerabilities in decentralized systems. Second, federated learning requires significant computational resources, straining hospital budgets and infrastructure. Third, regulatory compliance, such as HIPAA, creates uncertainty, as these technologies lack clear legal frameworks. Fourth, hospitals fear losing control over proprietary data, which is critical for research and revenue. Finally, the complexity of integrating these systems with legacy infrastructure and the lack of technical expertise among staff hinder adoption. Addressing these concerns through robust security, clear regulations, and user-friendly solutions is essential for acceptance.