Revolutionize Healthcare and Life Sciences with AI-Powered Networking
Juniper Networks empowers healthcare and life sciences organizations with secure, seamless, and automated networking solutions that drive innovation and improve patient care.
How Juniper can help
Juniper Networks’ AI-Native Networking Platform is dedicated to transforming healthcare and life sciences operations by enhancing reliability, elevating user experiences, and optimizing performance. With Juniper's connected security features, networks are safeguarded, sensitive data remains secure, and proactive threat detection ensures safety. This comprehensive approach ultimately streamlines operations in both healthcare and life sciences ecosystems.
AI drives seamless connectivity
Connectivity plays a crucial role in the healthcare ecosystem by enabling integration of systems and workflows, effectively bridging communication gaps. Mist AI provides secure and tailored connections, while advanced technologies like virtual Bluetooth LE beaconing and machine learning improve precision in critical equipment and resource tracking. Together, campus and branch solutions offer real-time insights and reliable networking, contributing to improved patient care and outcomes. This synergy enables healthcare and life sciences organizations to operate more efficiently and effectively.
Automated secure data center simplifies operations
Juniper's automated secure data center solutions streamline and simplify operations in multivendor environments, enhancing reliability and agility for modernization efforts. These solutions support large-scale data analysis and minimize downtime, enabling healthcare technologies, such as IoMT innovations, to excel. By utilizing predictive modeling and automated scalability, Juniper delivers optimal user experiences, facilitating seamless and sustainable network operations across hybrid cloud infrastructures.
Connected security safeguards sensitive information
Healthcare systems are frequent targets for ransomware threats, making connected security essential for safeguarding sensitive data. By implementing robust access controls and AI-powered threat prevention, user trust is upheld. This security approach protects information whether stored on-premises or in the cloud, utilizing a unified policy management system. With a strong Zero Trust architecture and tunnel-free SD-WAN, organizations can ensure secure application access while optimizing bandwidth usage.
Customer Success
Northeast Georgia Health System improves community health with AI-driven Juniper network
One million people in the mountains of Georgia rely on Northeast Georgia Health System (NGHS) for world-class care. A not-for-profit community hospital, NGHS is an ambitious innovator in improving clinical and business outcomes. In 2020, NGHS was recognized with a Level 9 certification on Healthcare’s Most Wired. It’s the health system’s seventh time on the prestigious list.
NGHS has relied on Juniper for enterprise core, campus, and data center networking for more than a decade, and most recently it shifted to Juniper wireless network, powered by Mist AI, for its hospitals.
See other stories
Frequently Asked Questions
From digital transformation initiatives to high-profile AI technologies and the rapid growth of IoMT devices, healthcare networks are facing unprecedented pressure. With limited IT budgets and challenges related to resource availability, the complexity and unpredictability of traditional networks can become significant liabilities for healthcare organizations.
AI-Native Networking offers a solution by simplifying and streamlining the management of these intricate networks. By automating and optimizing operations, these networks can adapt and scale dynamically to meet the evolving healthcare and life sciences demands, while addressing urgent needs such as patient data security, compliance with regulations like HIPAA, and the seamless integration of emerging health technologies, scientific developments, and the protection of intellectual property.
In a healthcare setting, where timely access to information can be critical to patient outcomes, AI-powered networks not only address issues proactively but also enhance performance based on user behavior and preferences. This leads to improved patient experiences, as healthcare providers can deliver services more efficiently and effectively.
Eliminating the limitations of traditional networking—such as outdated manual processes and poor user experiences—enables healthcare organizations to innovate and explore new innovative technologies and services. This robust and adaptive network infrastructure is essential for supporting telehealth services, electronic health records (EHR), and data analytics initiatives that drive better patient care and operational efficiency.
In the life sciences space, rising research and development (R&D) costs are a significant challenge, compounded by the need to integrate data silos across various research disciplines. The complexity of managing these silos can hinder innovation and slow down the progress toward groundbreaking discoveries. Additionally, the mounting cybersecurity threats pose risks to sensitive data, while organizations also strive to meet sustainability goals in their operations.
By simplifying and streamlining the management of complex research environments, automating, and optimizing operations, these networks facilitate the seamless integration of data from diverse sources, enabling researchers to access and analyze information more effectively. This holistic view of data can lead to reduced R&D costs, as teams can collaborate more efficiently and eliminate redundant processes.
Connect with a Specialist
Get more support:
Start a Call:
Send an Email:
Start a Chat:
Open Chat
Our team is here to help you! We are available from 7am PST - 6pm PST and attempt to respond to all inquiries within 1 business day.