下载PDF
Case Study: Large Enterprise Health Care Company
技术
- 分析与建模 - 实时分析
- 应用基础设施与中间件 - API 集成与管理
适用行业
- 医疗保健和医院
适用功能
- 商业运营
用例
- 远程资产管理
- 服务备件管理
服务
- 软件设计与工程服务
- 系统集成
挑战
这家大型企业医疗保健公司在分类服务性能问题方面面临挑战。他们发现,单一面向服务的方法是最有效的选择。在选择 NETSCOUT 解决方案来解决关键 IT 挑战(如减少性能下降和中断)之前,该公司考虑了包括 CA、Splunk、NetQoS、HP、Aternity 和 Extrahop 在内的多家供应商。
关于客户
本案例研究中的客户是一家大型企业医疗保健公司。该公司在管理服务性能问题方面面临挑战,正在寻找有效的解决方案。在决定采用 NETSCOUT 解决方案之前,他们考虑了多家供应商。该公司正在寻找一种解决方案,可以帮助他们优化 IT 服务的性能并减少性能下降和中断。该公司选择了由自适应服务智能 (ASITM) 技术支持的 NETSCOUT 解决方案,因为他们对服务依赖关系和相互关系具有独特而全面的了解。
解决方案
该公司实施了由自适应服务智能 (ASITM) 技术支持的 NETSCOUT 解决方案。该技术提供了服务依赖性和相互关系的独特而全面的视图,这是该公司选择 NETSCOUT 的一个关键原因。该解决方案帮助该公司提高了 IT 员工的工作效率和网络服务分类。该公司能够将花在作战室解决核心服务事件的时间从 30 多个小时缩短到 10-20 小时。与其他解决方案相比,该解决方案还帮助该公司将平均解决时间 (MTTR) 缩短了 80% 或更多。
运营影响
数量效益
相关案例.
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.