Delivering Quality User Experience for Both Medical Staff and Patients With Visibility from NETSCOUT Smart Edge Monitoring and VaaS Managed Services
Company Size
1,000+
Region
- America
Country
- United States
Product
- nGeniusONE Service Assurance platform
- InfiniStreamNG appliances
- nGeniusONE Global Manager
- nGeniusPULSE software
- nPoint devices
- NETSCOUT VaaS support
Tech Stack
- Web-based applications
- Cloud-based applications
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Employee Satisfaction
- Productivity Improvements
Technology Category
- Platform as a Service (PaaS) - Connectivity Platforms
- Platform as a Service (PaaS) - Device Management Platforms
Applicable Industries
- Healthcare & Hospitals
Applicable Functions
- Maintenance
- Quality Assurance
Use Cases
- Remote Asset Management
- Remote Collaboration
Services
- System Integration
- Testing & Certification
About The Customer
The customer is a not-for-profit, academic health system made up of a dozen hospitals and hundreds of medical clinics throughout the communities it supports. It is both a nationally ranked hospital system, recognized for expertise in orthopedics, cardiovascular specialties, cancer treatment, diabetes, and women’s health, and also known as a top employer as reported by Forbes Magazine. Their thousands of employees, including approximately 2,000 physicians and medical staff, rely on the healthcare’s state-of-the-art networking resources to help efficiently handle the nearly million patient visits and 35,000 overnight hospital stays per year. Keeping this pace requires a network that can support instantaneous access to patient records and diagnostic test results for staff everywhere.
The Challenge
The healthcare organization was expanding and implementing new web-based and cloud-based applications. This led to gaps in visibility, which was a challenge as the organization required monitoring visibility for efficient operation. The organization had previously implemented packet-based monitoring with the 9800 series ISNG appliances in the high-speed core of their network, with other ISNG appliances at some of their regional hospitals and medical buildings on the wide area network (WAN) edges. For end-user experience and client edge monitoring, they added nGeniusPULSE for synthetic test analysis from 3000 series nPoint devices that are implemented in some of these same hospital locations. However, as the organization continued to expand and implement transformative application services, they identified several gaps in visibility that they wanted to address with the extension of NETSCOUT Smart Edge Monitoring.
The Solution
The healthcare’s network team selected several ISNG appliances and nPoint devices to deploy in key hospitals and medical buildings. Different ISNG and nPoint models were implemented based on the various network speeds and environments of the individual buildings. Packet monitoring in the core of their data center at the service edge and at the WAN network edges in remote locations is enabling troubleshooting, tracking, and trending of traffic utilization, as well as application performance from application server farms to the remote hospitals and medical buildings. The partnership with NETSCOUT’s VaaS support organization ensured swift implementation, configuration, and operation of the new visibility solution, including monitoring of key business services that included Voice over IP (VoIP), Office 365, and Citrix, as well as clinical applications for Epic electronic medical records and the customer-facing Web portal.
Operational Impact
Quantitative Benefit
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.
