Regional Healthcare Organization Accelerates New Data Center with Visibility
Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- nGeniusONE® Service Assurance platform
- InfiniStreamNG™ appliance
- vSTREAM™ virtual appliance
- nGenius® Unified Communication Collector
Tech Stack
- Cisco ACI
- VMware clusters
- VoIP system
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Customer Satisfaction
Technology Category
- Infrastructure as a Service (IaaS) - Cloud Computing
Applicable Industries
- Healthcare & Hospitals
Applicable Functions
- Maintenance
- Business Operation
Use Cases
- Remote Asset Management
- Remote Collaboration
Services
- System Integration
- Testing & Certification
About The Customer
The customer is a large, regional health care organization that has grown organically and through acquisitions over recent years. The organization currently supports over 10,000 employees serving their communities through an integrated health system that includes several hospitals and surgery centers along with over 70 other types of care locations. The IT team of the organization has aggressive goals to support the organization’s growth and position it for future digital transformations and technology enhancements. These include: transitioning to Application Centric Infrastructure (ACI), introducing new applications, updating their existing application services, and where necessary, growing bandwidth to meet the ever-expanding demands of the staff and patients this healthcare organization serves.
The Challenge
The healthcare organization was facing a delay in transitioning to a Cisco ACI environment due to a lack of visibility to completely identify all the applications and their dependencies that needed to be moved. The problem was further compounded by the complexity and inefficiencies created by multiple existing tools that were incomplete and disconnected, making it difficult for the teams to have common measurements, processes and reporting. The teams decided they needed to re-examine their network monitoring system and upgrade to the latest technologies to handle their requirements now and be positioned for future enhancements. They planned to implement high-quality network and application monitoring from their remote hospitals that have small VMware clusters, and deploy a new VoIP system. This brought up another challenge; ensuring that any solution they were going to implement met the needs of all the IT teams, i.e. Citrix, Voice, database, server, help-desk etc.
The Solution
The entire IT team was involved in establishing the service assurance requirements and vendor evaluations, and at the conclusion were in agreement that the NETSCOUT Service Assurance platform was the right solution for their enterprise-wide needs. Unlike the existing tools or adding more multiple point solutions, NETSCOUT proved to be the best approach to gain the visibility and scalability they needed to move forward. Since much of the healthcare organization’s Electronic Medical Record (EMR) data passes through Citrix, the initial focus was to optimize performance of Citrix and its eco-system. With nGeniusONE and the InfiniStreamNG, powered by Adaptive Service Intelligence™ (ASI) technology, they gained end-to-end visibility into the performance of the integrated, Citrix-enabled, application environment. They deployed NETSCOUT vSTREAMS at the remote hospital locations to leverage the full power of ASI, delivering costeffective, pervasive visibility from these sites. In preparation for the new VoIP system, one of the first steps the Voice team planned was to implement the nGenius Unified Communication Collector to optimize the new service rollout and minimize any negative impact to call quality.
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.
