The safety of healthcare-related data is becoming a serious problem because cyberattacks are increasing, especially those aimed at linked medical devices and healthcare software. These attacks, like ransomware and interference with connected tools, put essential services at risk and expose private patient details, which come from different sources, to major threats. To deal with this problem, this article suggests a method that involves analyzing threats, finding weaknesses, and applying security solutions such as multi-step authentication, data protection strategies, and security testing. The suggested model provides practical results by protecting both internal and external data exchanges, lowering the danger of unapproved entry, and maintaining stable healthcare operations in a world that is more and more digital. A key contribution is the UML-based class diagram, which optimizes data flow, access control, and risk mitigation by mapping threats to tailored security solutions. The proposed model enhances data protection, minimizes unauthorized access, ensures regulatory compliance, and strengthens healthcare resilience in an increasingly digital environment.