IIC - 国际未来工业互联网（INFINITE）测试平台
- 分析与建模 - 大数据分析
- 网络与连接 - 软件定义网络
- 平台即服务 (PaaS) - 数据管理平台
*这是一个IIC测试平台，目前正在进行中。* MEMBER PARTICIPANTS EMC Corporation, Cork Institute of Technology WHAT IS INFINITE INFINITE（国际未来工业互联网测试平台）是一个专门为开发工业互联网产品和解决方案而构建的工业互联网创新平台。市场细分该项目的规模和范围意味着 INFINITE 可用于广泛而多样的行业和部门。解决方案能够通过移动网络连接的完全虚拟域；一种允许多个虚拟域通过一个物理网络安全运行的解决方案。测试平台介绍国际未来工业互联网测试平台（INFINITE）的目标是开发软件定义的基础设施，以推动工业互联网产品和服务的增长。 INFINITE 使用大数据不仅通过软件定义的网络创建完全虚拟的域，而且还使多个虚拟域可以通过一个物理网络安全运行 - 因此非常适合用于关键任务系统。更有趣的是，INFINITE 使通过移动网络连接到这些虚拟域成为可能。工业互联网联盟成员 EMC Corporation 正在领导 INFINITE 测试平台。工业互联网联盟成员科克理工学院以及沃达丰、爱尔兰政府网络、Asavie 和科克互联网交易所也为该项目贡献了他们的专业知识。试验台将在爱尔兰分两个阶段展开。在第一阶段，三个地理位置分散的数据中心将互连成一个重新配置的 EMC 网络。在第二阶段，INFINITE 将应用于一个名为“Bluelight”的用例。 Bluelight 将允许救护车安全地连接到医院的系统并在途中传递信息，因此医院工作人员准备好在救护车到达后接管病人的护理。 INFINITE 测试平台向任何工业互联网联盟成员以及对需要移动通信和动态配置环境的物联网解决方案概念感兴趣的非成员公司开放。
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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.
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.
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.
Cloud-based healthcare solution for Royal Philips
Royal Philips wanted to launch its cloud-based healthcare solution HealthSuite Digital Platform in China to deliver services to help cope with challenges related to urbanization and population growth. Philips wanted to achieve this goal by combining mobile, cloud computing and big data technologies. To bring this platform and product to market, Philips required cloud computing and local technical service capabilities in China, in addition to a flexible IT infrastructure that could handle user requests.
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.