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HaemoCloud Global Blood Management System
技术
- 基础设施即服务 (IaaS) - 云存储服务
- 基础设施即服务 (IaaS) - 其他
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 医疗保健和医院
适用功能
- 维护
用例
- 预测性维护
挑战
1) 提供连接的数字产品系统，以保护和提高 Haemonetics 血液和血浆解决方案的差异化价值。 2) 通过提高血液供应流程的效率来改善患者的治疗效果。 3) 导航并满足复杂的全球监管合规要求网络。 4) 减少昂贵和劳动密集型的维护程序。
客户
血液学公司
关于客户
Haemonetics Corporation 是全球领先的血液和血浆供应和服务提供商。我们全面的设备、信息管理和咨询服务组合为血液供应的各个方面提供血液管理解决方案
解决方案
Haemonetics 建立在 Bright Wolf 的 Strandz 平台上并利用 Amazon Web Services (AWS) 云存储，赢得了 2015 年 IoT Evolution 年度应用程序。通过与 Bright Wolf 的合作，Haemonetics 发布了 HaemoCloud，连接了从捐赠到输血的血液供应链。新系统直接与他们现有的 HaemoCommunicator 套件一起工作——连接所有 Haemonetics 传感器和设备，以便格式化和传输设备信息，以及收集和管理操作数据，并将其发送到 AWS 云。 HaemoCloud 还与医院和其他机构信息系统集成，以存储和与相关医院和 IT 人员共享信息，为客户创造无缝的数据体验。 HaemoCloud 中收集的数据将使 Haemonetics 能够构建预防性维护算法并为客户提供行业领先的设备性能。该系统的灵活架构还使 Haemonetics 能够利用新的市场机会，并在未来通过 Amazon Web Services (AWS) 的新产品实现增长。
收集的数据
Maintenance Requirements, Medical Diagnostic Instruments, Per-Unit Maintenance Costs, Supply Chain Optimization
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
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.
Case Study
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.
