Is your healthcare business ready for AI?

AI applications can provide medical practitioners with a real-time, holistic view of a patient’s health status, but they require high-speed data transmissions and more bandwidth than legacy infrastructure can provide. Without a reliable, modern network, healthcare companies could face delays when processing, analyzing and acting on the data that is at the core of AI applications.

In the world of healthcare, AI applications have the power to accelerate decision making and emergency response, improve efficiencies, enhance safety, discover new drugs and more. To achieve these outcomes, however, healthcare companies need the reliable, secure, real-time data transmission of a modern, scalable network.

Healthcare companies handle vast amounts of confidential information that is extremely valuable to threat actors. This is why healthcare AI models are ripe targets for model manipulations and data poisoning, which can leave your organization more vulnerable to attack. At the same time, you must ensure your network complies with a complex and dynamic regulatory framework.

With proactive security strategies, healthcare companies can protect their AI systems and stay ahead of emerging threats. Building a trustworthy operational environment also helps ensure AI systems' data are accurate and secure, which can help safeguard patient information and save lives.

 

Traditional network infrastructure can’t keep up with the AI-driven influx of data. This creates bottlenecks as data move inefficiently across a dispersed network to a data center and back. Failure to modernize can cause delays across healthcare environments, which can be particularly detrimental during emergencies or in diagnostic situations where real-time decisions are made.

Boost AI application performance by seamlessly integrating advanced computing capabilities directly within their operational frameworks. By minimizing latency and enhancing processing speeds, edge fabric solutions help facilitate real-time analytics, which is a game-changer for patient monitoring, telehealth and operational efficiency.

Uptime is money, downtime is expensive, and both impact revenue and your reputation. Inefficiently implemented AI systems can become unreliable and frustrating for providers, patients and your employees as they experience delays and inaccuracies. Unmonitored security vulnerabilities can also expose sensitive healthcare data to cyberattacks and bring down the system.

AI implementation will likely fail without expertly designed network infrastructure that supports the powerful AI tools that are quickly spreading throughout the healthcare industry. The right partner can help you implement future-ready network solutions without the need to upskill or increase headcount, so you can put your AI tools to work to help increase revenue; lower costs; create seamless, meaningful user experiences; and minimize risks.