Nyansa delivered direct integration of Citrix application data into its Voyance network analytics platform to eliminate performance blind spots inhibiting the efficient delivery of essential healthcare patient services.
Voyance has been certified by Citrix to work with both XenApp and XenDesktop as part of the Citrix Ready certification program.
Citrix solutions for healthcare IT organizations enable digital transformation by providing clinicians with instant access to patient information as they roam across facilities, devices and networks.
With advanced integration of Citrix data into Nyansa’s AI-Based Voyance analytics platform, IT staff now have the ability to automatically identify the culprit performance problems impacting essential Citrix-based EMR /EHR applications, such as EPIC and Allscripts, that have become the defacto standard for real-time delivery of patient-centered records to clinical staff.
Detailed Citrix application data is directly collected, analyzed and correlated with all other data sources across the entire network to help IT staff to quickly find and fix issues impacting the performance of Citrix applications.
IT staff can now have detailed visibility into proprietary Citrix ICA session formation such as session login times, application server resource utilization as well as when and why machine, application and connection failures occur.
Additionally, the company entered into a collaboration agreement with GE Healthcare to provide unparalleled visibility into the health, performance and behavior of network-connected IoT devices, such as bedside monitors and telemetry equipment being introduced within hospitals everywhere.
Working with GE Healthcare, Nyansa has developed the ability to parse the proprietary GE Unity/Carescape network protocol spoken between GE bedside monitors and GE viewers at the central station.
This protocol analysis enables the ability to calculate client experience metrics such as how well the heart rate, oxygen levels and other vitals are being received by the GE viewers. This user experience data is then fed into Voyance, Nyansa’s user management performance platform.
As a new data source into the Voyance platform, all telemetry data analysis is automatically and securely correlated across the full-stack of network data analytics currently available within Voyance. This now gives IT teams a more complete, accurate and contextual picture of the performance of these mission-critical devices on the network.
Armed with this new data, healthcare IT teams immediately gain a variety of insights not previously possible, these include, but are not limited to: the automatic root cause analysis of monitor connectivity issues, problematic monitors, the baseline behavior of bedside monitor performance and the amount of traffic monitors are sending and receiving.
The Latest
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...