下载PDF
Advanced Bionics European Clinical Research Department uses STATISTICA to assess results of clinical studies
技术
- 分析与建模 - 预测分析
- 应用基础设施与中间件 - 数据可视化
- 功能应用 - 远程监控系统
适用行业
- 医疗保健和医院
- 生命科学
适用功能
- 产品研发
- 质量保证
用例
- 临床图像分析
- 质量预测分析
- 远程病人监护
服务
- 数据科学服务
- 培训
挑战
Advanced Bionics regularly conducts clinical studies to improve cochlear implant systems. The challenge was to find an easy-to-use analytics solution that could seamlessly resume analyses, share results among team members, and produce high-quality, customizable graphs for presentations and reports. Before adopting STATISTICA, the research staff used various software packages like SPSS, Excel, SPAD, XlStat, SAS, and Matlab. However, these tools did not meet all their needs, particularly in terms of graph quality and ease of use. The need for a more efficient and user-friendly analytics platform was critical to support continuous improvements and scientific progress.
关于客户
Advanced Bionics, founded in 1993 and partnered with Phonak under the Sonova Group in 2009, is a global leader in the development and manufacturing of cochlear implant systems. These implants are designed to restore hearing to profoundly deaf individuals. The cochlear implant devices consist of an implant with an electrode array inserted surgically in the cochlea and an external processor that transforms sounds into electrical currents sent to the auditory nerve. The sound processor runs specialized software called SoundWave, which is fine-tuned by audiologists and can be uploaded to patients' processors. Advanced Bionics conducts regular clinical studies to update and improve their products, presenting their findings at scientific meetings and conferences worldwide.
解决方案
Advanced Bionics adopted STATISTICA to perform critical statistical analyses for their clinical studies. The European Clinical Research Department uses STATISTICA to assess the performance of cochlear implant subjects in various situations, particularly in post-market studies. One example is the evaluation of the ClearVoice™ feature, which includes the HiRes 120® product with three strategy options for fitting the software. A multicentre clinical study was conducted where patients were randomly assigned to one of the three fitting options, and their experiences were recorded using the APHAB questionnaire. Another area of research involves the FOX™ expert system, which assists clinicians in setting optimal parameters for cochlear implants. This system is being evaluated in a multicentre European study to measure the effects of fitting time in standard and FOX™ assisted fittings. STATISTICA's high-quality, customizable graphs are particularly praised for their use in presentations and reports.
运营影响
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.