On the hunt for the next big medical discovery: Oxford University Clinical Trial Service Unit reduces the data supply process from days to just minutes thanks to Actian Vectorwise
公司规模
1,000+
地区
- Europe
国家
- United Kingdom
产品
- Actian Vectorwise
技术栈
- Database Management
- Data Analytics
实施规模
- Enterprise-wide Deployment
影响指标
- Digital Expertise
- Productivity Improvements
技术
- 分析与建模 - 实时分析
- 应用基础设施与中间件 - 数据库管理和存储
适用行业
- 教育
- 医疗保健和医院
- 生命科学
适用功能
- 产品研发
- 质量保证
服务
- 数据科学服务
关于客户
The Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU) of the University of Oxford is an organization that conducts extensive research in the fields of bioresearch and healthcare. They study the causes and treatments of chronic illnesses such as cancer, heart disease, and strokes, which account for the majority of adult deaths in the developed world. Through their involvement with the UK Biobank project, CTSU curates many thousands of pieces of information from over half a million volunteers and makes it available anonymously to the worldwide scientific community. Scientists all over the world can then use that data to find out more about the causes of illnesses, the links between the causes and diseases, and hence improve prevention and treatment. The organization is committed to providing fast, cost-effective technology to identify, manipulate, and extract exactly the data which researchers need and make it available to them within extremely fast timescales.
挑战
The Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU) of the University of Oxford is involved in extensive bioresearch and healthcare studies. They extract and analyze data related to the causes, prevention, and treatment of chronic illnesses such as cancer, heart disease, and strokes. However, they faced a significant challenge when they realized that their existing database platform could not cope with the large data volumes involved in their research. The legacy platform struggled with complex queries, especially when they involved several thousand fields. The analytics could take days, which was not acceptable for the fast-paced research environment. They needed a solution that could handle high-speed analytics and deliver results within extremely fast timescales.
解决方案
CTSU decided to implement Actian's Vectorwise, a high-speed analytic database, to improve their analytics and service to their users. After installing Vectorwise, CTSU could change the way they mined and analyzed the data. The database allowed them to do aggregations, pivot the data, and sum the columns within a few minutes instead of a few days. The database was easy to use and did not require a steep learning curve or lots of hardware to benefit from its performance. The current Vectorwise deployment contains the UK Biobank data. User requests come in via the web from approved scientists and are then turned into database queries through custom scripts. As such, CTSU does not need to use any specific ETL or BI tools to manipulate or visualize the data.
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.
