- 平台即服务 (PaaS) - 数据管理平台
Medanta 是印度最大的多超级专业机构之一，位于印度古尔冈。 Medanta 面临的一些主要挑战包括： - 没有对能源使用、室内空气质量、室内照明质量和噪音水平进行监测和控制。 - 在重症监护病房没有对温度和压力的合规性监测。 - 能源账单令人意外，无法预测能源成本。 - 缺少可用于定位改进领域的数据和见解。 - 现有的计费管理系统（BMS）不灵活，无法在整个企业范围内使用以满足不同用户的需求。要求基于这些挑战，Medanta 正在寻找一个全面的监控和控制解决方案： - 能源使用 - 发电机 - 洁净室 - HVAC 温度 - 冷却器温度 - 消火栓压力 - 空气质量和噪音水平 - 关键病房
Medanta 是印度最大的多超级专业机构之一，位于印度古尔冈。 Medanta 遵循以关怀、同情和承诺为患者提供医疗服务的指导原则。该研究所占地 43 英亩，
SenseGrow 与我们的合作伙伴 LogicLadderTM 合作，提供全面的解决方案。来自多个供应商的设备将与 ioEYETM 连接。这些数据随后以某种方式提供给 EnergyLogicIQTM，使他们能够在不了解底层技术的情况下访问这些设备。使用 ioEYE 的报告、仪表板和智能警报，EnergyLogicIQ 能够对这些数据进行分析，以提供可行的见解。
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
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.
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.
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.