QlikView puts important key data permanently in view for Marienhospital
Customer Company Size
Mid-size Company
Region
- Europe
Country
- Germany
Product
- QlikView
Tech Stack
- SAP
- KIS
- DRG System
- BQS Data
- Excel
Implementation Scale
- Departmental Deployment
Impact Metrics
- Productivity Improvements
- Cost Savings
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Healthcare & Hospitals
Applicable Functions
- Quality Assurance
Use Cases
- Process Control & Optimization
- Predictive Quality Analytics
Services
- Data Science Services
About The Customer
Marienhospital Gelsenkirchen is a leading academic training hospital located in Germany. The hospital has over 500 beds and ten specialized divisions. The hospital is among the pioneers of IT supported hospital management. The intelligent linking and analysis of diverse information sources not only helps to implement the statutory demands required since the introduction of the DRG-System (Diagnosis Related Groups), but also allows process optimization at every hospital level thanks to the newly created transparency. The hospital serves around 27,000 patients per year.
The Challenge
Marienhospital Gelsenkirchen, a leading academic training hospital in Germany, was facing challenges in amplifying transparency within the clinic to achieve greater efficiency and prepare for the statutory demands of Diagnosis Related Groups (DRG). The hospital was struggling with the efficient evaluation of patient data from diverse information systems. The introduction of the DRG-System for service related accounting in 2003 made it clear to the hospital that they needed to create more transparency within the clinic to achieve greater efficiency in the administration of internal services and to be prepared for the DRGs during annual budget negotiations with the Health Insurance Funds. The limitations of the existing system were reached extremely quickly. The standard evaluation software (Excel) was not capable of effectively analyzing the extensive amounts of data created from 27,000 patients per year.
The Solution
Marienhospital deployed QlikView to 30 employees across 4 functional areas, with the first version of the DRG Analysis application up and running in 3 weeks. Marienhospital now analyzes diagnoses and treatments, materials, bed occupancy planning, IT systems, and BQS quality assurance data – all focused on driving quality improvements in patient care. With QlikView Server and Connector, Marienhospital now easily handles the large data volume associated with 27,000 patient records previously locked in SAP, DRG System and KIS. The team developed the first “DRG View” version themselves, based on the Swedish developed analysis tool, in three weeks. After a couple of mouse clicks, it was clearly apparent that the solution could extract a great deal of additional information from the data pool that proved to be interesting. Selections, for example, can now be made with ease, such as identifying how seasonal factors affect material, budget and bed occupancy planning over time.
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
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.
