GenoSpace 提升人口分析和应用程序性能
技术
- 网络安全和隐私 - 云安全
适用行业
- 医疗保健和医院
适用功能
- 产品研发
用例
- 网络安全
客户
基因空间
关于客户
GenoSpace 总部位于马萨诸塞州剑桥市，是一家快速发展的公司，提供基于云的软件服务，旨在符合 HIPAA 标准并应用于研究、临床开发、病理学和临床护理。公司提供
挑战
由于维护人类基因数据的机密性对 GenoSpace 至关重要，该公司将安全作为重中之重。在涉及医疗保健数据的泄露已达到惊人水平的环境中，GenoSpace 了解不遵守 HIPAA 患者隐私法规和行业领先的数据安全实践会造成代价高昂的业务影响。例如，身份盗窃资源中心的 2014 年度安全漏洞列表指出，医疗/保健行业占所有列出的漏洞的 42.5% 以上，居所有其他类别之首。自报告要求开始以来，美国卫生与公众服务部已跟踪 944 起事件，涉及约 3000 万人。
伴随着这个问题的持续性和严重性而来的是财务影响。例如，在其研究《2014 年数据泄露成本研究：全球分析》中，Ponemon Institute 估计 2014 年数据泄露的平均成本为 350 万美元，比 2013 年增加了 15%。此外，每条记录的平均成本所有行业的人均医疗费用也从 188 美元增加到 201 美元，人均医疗保健成本在所有行业中最高，为每位患者 316 美元。每次数据泄露的典型罚款高达 150 万美元。整个医疗保健行业的违规成本估计为每年 56 亿美元。
解决方案
自公司成立以来，GenoSpace 的软件开发实践就采用了最强大的数据加密，以帮助保护这些高度敏感的数据集并满足 HIPAA 合规标准。在其网站上，隶属于美国卫生与公众服务部的 HealthIT.gov 强烈建议将加密作为更广泛的整体和多层次方法的一个组成部分，以保护医疗保健数据并最大限度地减少破坏性泄露的可能性。 2009 年的 HITECH 法案扩大了 HIPAA 数据泄露报告要求，并要求披露涉及未受保护的患者健康数据的泄露。 HITECH 法案规定，虽然不需要对静态和传输中的数据进行加密，但它肯定是“可寻址的”。未能加密患者医疗保健数据可能会产生重大影响，包括巨额罚款。
GenoSpace 架构托管在 Amazon Web Services (AWS) 上，为开发人员和客户提供了灵活性和可扩展性。为了确保这种公共云实施的最大安全性，GenoSpace 采用了一种全新的加密方法。它的解决方案收集所有需要分析的数据，并在此基础上进行分层加密，以保护存储在 AWS 上的敏感医疗保健数据或通过 Internet 传输的数据的机密性。这为 AWS 内置安全功能增加了一项重要的额外保护措施。
收集的数据
Asset Performance, Data Security, Operation Performance, Personal Medical, Production Efficiency
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.
