公司规模
Large Corporate
地区
- America
国家
- United States
产品
- Flywheel's research data platform
技术栈
- Cloud Computing
- Data Management
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Digital Expertise
技术
- 平台即服务 (PaaS) - 数据管理平台
- 基础设施即服务 (IaaS) - 云计算
适用行业
- 教育
- 医疗保健和医院
适用功能
- 产品研发
- 质量保证
服务
- 数据科学服务
- 云规划/设计/实施服务
关于客户
The Dana and David Dornsife Cognitive Neuroimaging Center (DNI) is a resource for USC scientists seeking to understand the relation between neural and mental phenomena in humans. The Center serves the neuroimaging needs of researchers across the university as they seek to disseminate knowledge about the brain, mind, and imaging practices to students and the public. The Center's leadership includes Dr. Jonas Kaplan, Assistant Research Professor of Psychology at USC's Brain and Creativity Institute and Co-Director of the DNI, who was seeking a new platform to manage his lab's data.
挑战
The Dana and David Dornsife Cognitive Neuroimaging Center (DNI) at the University of Southern California (USC) was facing challenges in distributing data to researchers across the university community. The data from scans conducted at the center had to be transferred to DVDs and delivered to individual researchers or pushed onto the researcher's own DICOM server. These manual processes often resulted in delays and quality concerns. Additionally, Dr. Jonas Kaplan, Assistant Research Professor of Psychology at USC's Brain and Creativity Institute and Co-Director of the DNI, was seeking a new platform to manage his lab's data. He wanted a solution that would allow him to access and curate his data quickly and accurately, while also providing a secure mechanism for sharing data with collaborators and students.
解决方案
The DNI chose to install Flywheel, a comprehensive data management platform for imaging research, to manage and distribute the Center's data. Flywheel's capabilities include the ability to ingest data from disparate sources, curate data to common standards, automate processing, and provide for secure collaboration. With Flywheel, the Center is able to provide value-added services to research labs across the university and support improved productivity through faster, secure delivery of data. Center administrators can also ensure quality control with automated checks and support remote access. In addition to using Flywheel to manage the Center's data, Dr. Kaplan uses the lab version to manage his own research. Flywheel's capabilities to automatically convert data from DICOM to NIFTI and support consistent data curation, allow Dr. Kaplan to spend much more time analyzing the data and disseminating findings instead of managing and processing data.
运营影响
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
Cloud-based healthcare solution for Royal Philips
Royal Philips wanted to launch its cloud-based healthcare solution HealthSuite Digital Platform in China to deliver services to help cope with challenges related to urbanization and population growth. Philips wanted to achieve this goal by combining mobile, cloud computing and big data technologies. To bring this platform and product to market, Philips required cloud computing and local technical service capabilities in China, in addition to a flexible IT infrastructure that could handle user requests.