Diakonhjemmet Sykehus improves quality performance with QlikView
公司规模
1,000+
地区
- Europe
国家
- Norway
产品
- QlikView Server
- QlikView Publisher
技术栈
- Oracle
- SQL Server
- HP Blade Server
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Customer Satisfaction
- Productivity Improvements
技术
- 分析与建模 - 预测分析
- 分析与建模 - 实时分析
适用行业
- 医疗保健和医院
适用功能
- 商业运营
- 人力资源
用例
- 人员跟踪与监控
- 预测性维护
服务
- 数据科学服务
- 系统集成
关于客户
Diakonhjemmet Sykehus is a private, non-profit hospital in Oslo, Norway. Founded in 1893, the hospital offers a range of services including internal medicine, surgery, rheumatology, radiology, psychiatry, and laboratory services. Despite being a private institution, it serves as the referring hospital for the western part of Oslo, catering to over 13,000 in-patients and 76,000 outpatients per year. The hospital plays a crucial role in the community and is committed to meeting or exceeding regulatory reporting requirements on quality statistics.
挑战
Diakonhjemmet Sykehus, a private, non-profit hospital in Oslo, Norway, was struggling to meet regulatory reporting requirements on quality statistics. Their existing systems could only export data files that had to be manipulated within Microsoft Excel to generate basic analysis. This process was time-consuming and did not provide much visibility into the underlying data. The hospital was also facing issues with employee absenteeism and patient admittance scheduling failures. They needed a solution that could handle the complex needs of a hospital without being too costly or resource-intensive.
解决方案
The hospital deployed QlikView Server and Publisher to 90 users, analyzing information across three disparate systems: patient management, finance, and personnel management. These complex systems contain tens of millions of lines of data. New applications can be implemented in as little as one week, addressing complex reporting requirements for patient processes and scheduling. The first application the hospital deployed focused on the KPIs for continuity of care, the time taken to prepare and send inpatient summaries to the patient’s primary physician. The QlikView application now proactively alerts an administrator if it has been five days since a patient’s release and the report has not been sent. The hospital also used QlikView to build a personnel attendance dashboard that extracts relevant information from a database comprised of tens of millions of lines. This system is used daily by all levels of management to spot trends and problems.
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
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
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.
