Leading U.S.-based Healthcare Provider Ensures Successful UC Upgrade with NETSCOUT Monitoring Strategy
Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- nGeniusPULSE
- InfiniStream Appliances
- Packet Flow Switches
- nGeniusONE platform
Tech Stack
- Unified Communications (UC)
- VoIP services
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Cost Savings
- Customer Satisfaction
Technology Category
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
- Healthcare & Hospitals
Applicable Functions
- Business Operation
- Human Resources
Use Cases
- Remote Collaboration
- Remote Control
Services
- System Integration
- Testing & Certification
About The Customer
The customer is a leading U.S.-based healthcare provider that serves millions of patients with services from tens of thousands of physicians and nurses, and hundreds of thousands of employees at numerous hospitals and hundreds of medical and outpatient offices. Prompt, efficient and high-quality communication is a top priority, allowing the organization to deliver an exceptional patient experience. In an effort to ensure the highest quality communication performance for patients, doctors and employees, this healthcare provider engaged in a major multi-year, multi-million dollar unified communications (UC) project.
The Challenge
The healthcare provider was engaged in a major multi-year, multi-million dollar unified communications (UC) project. The IT team recognized that if the upgraded UC clusters were not fully tested under load, the system could be vulnerable to a range of failures, such as call drops and lack of dial-tone. Without real-time visibility and analysis in the production network, patient-impacting problems could persist far longer than would be acceptable. IT needed to verify and stress test the system in pre-production before go-live, to attain service assurance. A further goal was to put a solution in place that would allow IT to protect the performance of the new VoIP services post-deployment in the actual production environment. This solution would have to enable IT to proactively get ahead of issues before they impacted patients. At the same time, IT wanted to reduce number of vendors they manage, thereby reducing time lost to vendor finger pointing in its complex UC&C environments.
The Solution
The healthcare provider turned to NETSCOUT to support its UC upgrade objectives. nGeniusPULSE, a highly scalable application and network performance testing solution that uses active, synthetic tests to measure the availability and performance of services, was selected for pre-deployment testing to ensure the UC upgrade project would be successful. When combined with InfiniStreamNG™ appliances with patented Adaptive Service Intelligence™ (ASI) technology and nGenius® packet flow switches, the implementation of nGeniusPULSE was an integral part of the company’s enterprise-wide UC monitoring strategy. As a result of the NETSCOUT solutions, IT was able to conduct pre- and post-deployment analysis of the VoIP environment. In the lab setting, the UC cluster was tested, hitting it with hundreds of calls at a time to ensure it was configured properly and working according to design specifications. nGeniusPULSE supported this proactive approach to provide visibility into the expanded network and active synthetic testing offers early detection so IT is aware of potential problems before they escalate into issues that affect the patient experience.
Operational Impact
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Hospital Inventory Management
The hospital supply chain team is responsible for ensuring that the right medical supplies are readily available to clinicians when and where needed, and to do so in the most efficient manner possible. However, many of the systems and processes in use at the cancer center for supply chain management were not best suited to support these goals. Barcoding technology, a commonly used method for inventory management of medical supplies, is labor intensive, time consuming, does not provide real-time visibility into inventory levels and can be prone to error. Consequently, the lack of accurate and real-time visibility into inventory levels across multiple supply rooms in multiple hospital facilities creates additional inefficiency in the system causing over-ordering, hoarding, and wasted supplies. Other sources of waste and cost were also identified as candidates for improvement. Existing systems and processes did not provide adequate security for high-cost inventory within the hospital, which was another driver of cost. A lack of visibility into expiration dates for supplies resulted in supplies being wasted due to past expiry dates. Storage of supplies was also a key consideration given the location of the cancer center’s facilities in a dense urban setting, where space is always at a premium. In order to address the challenges outlined above, the hospital sought a solution that would provide real-time inventory information with high levels of accuracy, reduce the level of manual effort required and enable data driven decision making to ensure that the right supplies were readily available to clinicians in the right location at the right time.
Case Study
Gas Pipeline Monitoring System for Hospitals
This system integrator focuses on providing centralized gas pipeline monitoring systems for hospitals. The service they provide makes it possible for hospitals to reduce both maintenance and labor costs. Since hospitals may not have an existing network suitable for this type of system, GPRS communication provides an easy and ready-to-use solution for remote, distributed monitoring systems System Requirements - GPRS communication - Seamless connection with SCADA software - Simple, front-end control capability - Expandable I/O channels - Combine AI, DI, and DO channels
Case Study
Driving Digital Transformations for Vitro Diagnostic Medical Devices
Diagnostic devices play a vital role in helping to improve healthcare delivery. In fact, an estimated 60 percent of the world’s medical decisions are made with support from in vitrodiagnostics (IVD) solutions, such as those provided by Roche Diagnostics, an industry leader. As the demand for medical diagnostic services grows rapidly in hospitals and clinics across China, so does the market for IVD solutions. In addition, the typically high cost of these diagnostic devices means that comprehensive post-sales services are needed. Wanteed to improve three portions of thr IVD:1. Remotely monitor and manage IVD devices as fixed assets.2. Optimizing device availability with predictive maintenance.3. Recommending the best IVD solution for a customer’s needs.
Case Study
HaemoCloud Global Blood Management System
1) Deliver a connected digital product system to protect and increase the differentiated value of Haemonetics blood and plasma solutions. 2) Improve patient outcomes by increasing the efficiency of blood supply flows. 3) Navigate and satisfy a complex web of global regulatory compliance requirements. 4) Reduce costly and labor-intensive maintenance procedures.
Case Study
Harnessing real-time data to give a holistic picture of patient health
Every day, vast quantities of data are collected about patients as they pass through health service organizations—from operational data such as treatment history and medications to physiological data captured by medical devices. The insights hidden within this treasure trove of data can be used to support more personalized treatments, more accurate diagnosis and more advanced preparative care. But since the information is generated faster than most organizations can consume it, unlocking the power of this big data can be a struggle. This type of predictive approach not only improves patient care—it also helps to reduce costs, because in the healthcare industry, prevention is almost always more cost-effective than treatment. However, collecting, analyzing and presenting these data-streams in a way that clinicians can easily understand can pose a significant technical challenge.