Smart medical devices face significant threats to patient safety if left vulnerable to remote attacks.
Fremont, CA: Artificial Intelligence (AI) is now empowering hospitals worldwide to ease their administrative tasks and enhance patient health outcomes. AI is now being used to help improve human resources to strengthen health protection and ensure patient records privacy. The incorporation of AI in the area of healthcare protection guarantees data security and patient safety. Maintaining an emphasis on addressing these concerns would become increasingly important in the future. Here are the key ways AI can address healthcare security threats.
Recognizing Potential Threats
The human cost of stolen medical data is impossible to measure. Health data is not adequately protected from fraud, making theft of patient identity impossible to recover. If data leaks result in false patient records, patients could be at risk of severe health consequences. AI will help deter such breaches by proactively looking for malware signatures. If a security breach happens, AI recognizes and isolates these risks quicker than standard security measures. AI tracks activity across the healthcare network automatically and continuously by flagging anomalies as they arise. Behavioral indicators are potential methods for the detection of malware.
The Safety of Medical Equipment
Smart medical devices face significant threats to patient safety if left vulnerable to remote attacks. AI will help overcome this most daunting hurdle to medical devices. Medical electronics are usually designed by third-party manufacturers who use a range of operating systems and proprietary codes. This makes it impossible for healthcare systems to evaluate equipment for safety defects. AI can help with data encryption and malware detection, especially in the automated recognition of threats, without relying on manufacturers to identify vulnerabilities.
Extending human capital
The number of possible threats can over-extend security personnel, damage their effectiveness and lead to burn-out. AI systems help hospitals to process large databases quickly and efficiently, allowing clinicians to devote their time, effort, and expertise to high-priority future projects.
