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Wearable devices can enhance patient care, improve diagnostic accuracy, and streamline healthcare operations.
As wearable devices and remote patient monitoring systems proliferate, there’s a higher risk of attacks by cybercriminals. Because they transmit data wirelessly, the possibilities of data interception and breach increase. However, all is not lost. By necessitating better data safety measures and strict adherence to comprehensive regulatory frameworks around interoperability, security, and data privacy, wearables can be safely deployed and used.
TCS approaches device security with TinyML, a technology that makes such devices smarter, as well as enables fully homomorphic encryption and secure multiparty computations. With data analysis and processing happening directly on the device, the need to send sensitive information to external servers is reduced drastically.
AI’s evolving role in healthcare offers many exciting possibilities. But AI is also a double-edged sword. Security and privacy by design for AI-powered connected healthcare systems can minimize the risk posed by the expanded threat surface.
Read more about the importance of cybersecurity for healthcare. Nitin Kumar, VP – Healthcare, Tata Consultancy Services, shares how sensitive data from wearable devices can be compromised and what TCS is doing to prevent such data breaches.
Swipe LeftSwipe RightTinyML can transform these devices into intelligent, self-sufficient tools that provide all necessary information, while keeping data secure.
Nitin Kumar
VP - Healthcare, Tata Consultancy Services
Integrated ecosystems are key to better patient outcomes.
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