Medical Data Vision save lives with Vectorwise
公司规模
Mid-size Company
地区
- Asia
国家
- Japan
产品
- MDV analyzer
- Vectorwise
技术栈
- Database Management
- Data Analysis
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
技术
- 分析与建模 - 大数据分析
适用行业
- 医疗保健和医院
适用功能
- 产品研发
用例
- 质量预测分析
服务
- 数据科学服务
关于客户
Medical Data Vision (MDV) is a company that develops management support software for hospitals and private health clinics throughout Japan. The company's main product, the MDV analyzer, is an Evidence Based Medicine (EBM) service that collects and shares medical data from hospitals across the country. The aim of the MDV analyzer is to improve the quality of medical care by analyzing and sharing medical results with Pharmaceutical companies for epidemiological studies, market research and further drug development. The company is committed to providing fast and efficient analysis of medical data to help save lives and improve healthcare services.
挑战
Medical Data Vision (MDV) develops management support software for hospitals and private health clinics throughout Japan. The MDV analyzer is an Evidence Based Medicine (EBM) service that collects and shares medical data from hospitals across Japan. The MDV analyzer aims to improve the quality of medical care by analyzing and sharing medical results with Pharmaceutical companies for epidemiological studies, market research and further drug development. MDV’s previous EBM required an upgrade due to slow performance. “Our previous application used another column type database and performance was taking up to 30 seconds for a report on 2 years of data,” said Hirai-san. “This was unacceptable, so over a 2 month period we evaluated 5 other high performance databases to see which offered the best performance.”
解决方案
Actian’s Vectorwise was the database chosen to power the MDV analyzer application, based on outstanding high performance and affordability. The solution was designed and implemented by Insight Technology for maximum query performance on commodity hardware. With Vectorwise, the new MDV analyzer is able to analyze more data in less time, and be deployed to more concurrent users. “We were very happy with the level of performance Vectorwise delivers. It meant we could give end users the performance they expect without having to spend significantly more on hardware,” explained Hirai-san. In the 3 months since launch, the MDV analyzer is already being used by new customers. MDV plan to double that before the end of the year.
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.
