Georgia Health Care Turns to AI-Based Tools for Citrix Management

By | February 17, 2019

Full article on eWeek

Despite the popularity and longevity of Citrix, the application can be very challenging to troubleshoot because the environment can be complex.  As an example, a WOW is typically connected over Wi-Fi, and when Citrix isn’t working, it’s difficult to distinguish between network and application issues. Once a problem been identified, how does one then understand which specific Citrix apps are performing poorly? Another task that’s difficult with legacy tools is getting alerted if the performance of critical applications hosted on Citrix is poor.

These were some of the problems Northeast Georgia Health Systems (NGHS) was experiencing with its Citrix implementation. NGHS is a large health-care facility with about 15,000 employees in three hospitals, each with its own Citrix environment powered by about 350 servers to deliver services to approximately 5,000 Citrix XenDesktops. Citrix XenApps is also used to provide applications to about 80 remote and specialty sites where workers can use a laptop, thin client, desktop or a local WOW.

Kristien Kramer, an NGHS network engineer and team lead, agreed to be interviewed about the problems they were facing and how Nyansa’s AI-infused Voyance IT management platform helped overcome them. He told eWEEK one of the factors that has added to the complexity of the environment is its process of migrating to wireless. Historically, most of the devices were connected via a wired connection, but now they are about 70/30 wired and wireless.

Author: Thin Client

Craig Allen Keefner is an industry analyst, content strategist, and longtime authority on self-service kiosks, digital signage, unattended payment systems, and interactive technology. He manages content and industry strategy for Kiosk Industry and The Industry Group, with a focus on kiosk software, hardware-software integration, accessibility, payment compliance, healthcare kiosks, restaurant self-service, and emerging AI automation. Craig has covered the self-service and kiosk industry since the 1990s, tracking how public-facing terminals move from concept to field deployment. His work combines industry research, vendor analysis, operator conversations, standards tracking, trade show coverage, and practical experience with the real-world constraints of kiosk deployments. https://www.linkedin.com/in/kiosk