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Healthcare services are being transformed by AI, IoT, big data analytics, blockchain, and cloud computing, transforming the medical model from disease-centered to patient-centered care. AI enables doctors to make more accurate diagnoses, health administrators to locate electronic health records faster, and patients to receive timely, personalized treatments. Healthcare 5.0, a comprehensive transformation, focuses on personalization and customer-centered care, aiming for lifelong partnership, customer well-being, and quality of life. However, security challenges such as managing large data volumes, lack of standards, data security threats, and regulatory difficulties persist. A robust security framework is needed to secure the data of Healthcare 5.0, facilitating authentication, access control, key management, and intrusion detection. This review article proposes the design of a secure generalized healthcare 5.0 framework, detailing various applications, security requirements, threat models, existing security mechanisms, and future research directions for researchers working in this domain.