Customer Company Size
Large Corporate
Country
- United States
Product
- Domo BI & Analytics
Tech Stack
- Business Intelligence Tools
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Digital Expertise
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Healthcare & Hospitals
Applicable Functions
- Sales & Marketing
Services
- Data Science Services
About The Customer
GE Healthcare is a leading healthcare company that provides a wide range of imaging devices, ultrasound solutions, healthcare IT platforms, and dozens of other value-added solutions. The company has a global presence and serves a wide range of customers in the healthcare sector. The company's finance department, along with other functional groups, heavily relies on Business Intelligence (BI) tools for data visualization, data sharing, and transactional level commentary. The company was looking for a BI solution that could support a self-service model and enable business users to easily create visualizations and share data.
The Challenge
GE Healthcare, a leading healthcare company, was facing challenges with its existing BI tools. The company had several BI tools within finance, but no single solution supported a self-service model that allowed business users to easily create visualizations, share data, and support transactional level commentary. The existing system was causing internal frustration and required a high dependency on the technology team. Dashboards could take months to build, slowing down the decision-making process. The company needed a solution that could quickly share data and reports on a global scale for mass consumption.
The Solution
GE Healthcare decided to add Domo to its BI portfolio. Domo is a BI tool that supports a self-service model, allowing business users to easily create visualizations, share data, and support transactional level commentary. The finance team and other functional groups began to control their own destiny by moving to this self-service model. Certified datasets were created and made available for mass consumption for Domo card builders. This single source of truth allowed multiple regular operational meetings to move from using labor-intensive PowerPoint presentations to using live Domo cards to lead the discussions. The company also leveraged alerts to help business users know when specific metrics are reached, data has had a material change, or there was an interfaced failure without having to constantly monitor a card.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
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
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.