NETSCOUT Case Studies Healthcare Provider Solves Imaging Application Slowdown Issues in their Virtual Server Environment with NETSCOUT
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Healthcare Provider Solves Imaging Application Slowdown Issues in their Virtual Server Environment with NETSCOUT

NETSCOUT
Infrastructure as a Service (IaaS) - Cloud Computing
Infrastructure as a Service (IaaS) - Private Cloud
Healthcare & Hospitals
Maintenance
Predictive Maintenance
Remote Asset Management
Cloud Planning, Design & Implementation Services
System Integration
The healthcare organization was experiencing radiology application slowdown issues that were impacting patients. Doctors and nurses were suffering significant wait times of up to 20 minutes delay in pulling up cardiology images. These cardiology images were critical to have available during patients’ exams for evaluation and diagnosis. Given the nature of the cardiology practice, minutes can mean the difference between life and death. The radiology information system (RIS), that leverages the DICOM protocol (Digital Imaging and Communications in Medicine) to communicate, was responsible for the file transfers, how the documents are stored, and how the doctors are able to access the right radiology image for the patient in question. In trying to triage the problem over a few weeks, several war room calls were conducted that included a number of the healthcare organization’s IT staff as well as third-party vendors, including the application provider. At times, there were upward of 20 people on the daily call trying to pinpoint the source of the problem. A great deal of time was lost as each vendor tried to prove it wasn’t their part of the environment which was creating the slowdown.
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A leading U.S. healthcare provider, this 100-year old non-profit delivers both health insurance and healthcare services across member hospitals, medical centers, and group practices serving the needs of their community. Beyond operating a Level 1 Trauma Center and several hospitals, their over 1,200 physicians and 15,000 full-time employees deliver exceptional care to literally millions of admitted and walk-in patients every year in over 40 specialty areas, including cardiology, neurology, orthopedics, oncology, and more. They make teaching and research a cornerstone of their services and are regarded as a premier academic medical center.
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The healthcare company was already utilizing NETSCOUT solutions across its private data center, affiliated hospitals, and medical buildings. The nGeniusONE Service Assurance platform, a variety of InfiniStreamNG appliances, and nGenius 3900 series packet flow switches for visibility were already deployed in private cloud and hospital locations. The radiology application was hosted on virtualized servers in the private cloud, where historically there was a lack of visibility capabilities that could interoperate with a holistic service assurance monitoring solution. Network Operations recommended implementing the vSTREAM virtual appliance to monitor wire-date in several of the virtualized radiology application servers to send Adaptive Service Intelligence™ (ASI) smart data to the existing nGeniusONE platform. Strategically, this provided the IT team comprehensive, vendorindependent, end-to-end visibility and service assurance for its patient-impacting services like radiology. The network operations team worked with the application team to research the issue. With nGeniusONE analyzing ASI information from the InfiniStreamNG appliances in the private data center, the IT team had previously concluded that the network was not the source of the problem. Leveraging nGeniusONE’s HL7 (Health Level 7) Service Monitor for in-depth analysis, they also ruled out interoperability as an issue.
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IT team has reduced cardiac image retrieval from 20 minutes to seconds with the addition of NETSCOUT’s vSTREAM visibility in their virtualized radiology application servers
Restored efficiencies and productivity for the doctors and nurses reading cardiology images
Improved collaboration with actionable intelligence among network operations, applications, and the radiology application vendor to reduce MTTR for patientimpacting issues
Reduced cardiac image retrieval from 20 minutes to seconds
Reduced mean-time-to-resolve (MTTR) patientimpacting issues
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