DDG improves healthcare management thanks to QlikView
Company Size
200-1,000
Region
- Europe
Country
- Netherlands
Product
- QlikView
Tech Stack
- Adastra
- MS Access
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Productivity Improvements
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Healthcare & Hospitals
Use Cases
- Remote Asset Management
Services
- Data Science Services
About The Customer
The DDG, General Practitioner (GP) call services, has been taking care of emergency health calls in Groningen and North Drenthe (the Netherlands) during the evenings, at nights, on weekends and on public holidays since 2002. The DDG consists of 278 GPs with a working area of some 650,000 patients. Every year the DDG receives around 150,000 calls, which result in a telephone consultation or an emergency home visit. The DDG has its own call center, seven GP posts, six fully equipped cars for home visits and an office for administrative support.
The Challenge
The DDG, General Practitioner (GP) call services, had been using Adastra, a call management and patient registration system specifically designed for GP services. However, Adastra lacked sophisticated analysis functions, making it difficult to generate management information beyond the number of patient contacts and consultations. The organization needed to find out whether they were satisfying the performance criteria for the response to calls. They initially attempted to tackle the problem by developing an Access database themselves, but soon realized that QlikView was a far better option.
The Solution
QlikView was implemented in no time. First, all the information from Adastra was fed into the MS Access database. Then, the data from Access was fed into QlikView. This was done for two reasons. First, Adastra was based upon a database that was built by the supplier, so it was difficult to access. Secondly, they reckoned that patient confidentiality and operational continuity might be compromised if they were to link QlikView directly to Adastra. If anything went wrong with the analysis software, their patient database might be jeopardized. The DDG ran fairly smoothly as Addens explains, “The only challenge was when we had to create a table to see whether we were delivering on our 30-minute call-back obligation. But, QlikView helped us sort things out. That was the knock-out criterion.” When the organization had finished building and filling the system in the autumn of 2006, a QlikTech consultant installed everything – including the security – on the web server in just one day.
Operational Impact
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.
