公司规模
Large Corporate
地区
- America
国家
- United States
产品
- DataRobot
技术栈
- Predictive Analytics
- Automated Feature Discovery
实施规模
- Departmental Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
技术
- 分析与建模 - 预测分析
适用行业
- 医疗保健和医院
适用功能
- 产品研发
用例
- 预测性维护
- 远程病人监护
服务
- 数据科学服务
关于客户
本案例研究中的客户是加州大学旧金山分校的脊髓损伤研究和临床知识转化 (TRACK-SCI) 团队。这个由研究人员和临床医生组成的跨学科团队是加州大学旧金山分校脑和脊髓损伤中心的一部分。他们的使命是开展高质量的研究,研究当前的临床实践并通过与临床医生的合作改善护理。他们特别感兴趣的是手术过程中的血压管理如何影响患者从脊髓损伤中恢复的可能性。
挑战
加州大学旧金山分校的脊髓损伤研究和临床知识转化 (TRACK-SCI) 团队致力于改善创伤性脊髓损伤患者的护理。每年,美国有 17,000 例脊髓损伤 (SCI) 病例,通常会导致瘫痪和感觉功能障碍等永久性问题。每位患者的终生费用估计在 100 多万美元到近 500 万美元之间。在 SCI 患者护理过程中做出的紧急临床决策(例如在手术和 ICU 管理期间)对于患者的康复至关重要。然而,临床医生缺乏通过数据驱动研究开发的指导。TRACK-SCI 团队特别感兴趣的一个领域是手术过程中的血压管理如何影响患者的康复可能性。
解决方案
TRACK-SCI 团队与 DataRobot 合作应对这一研究挑战,并改进 SCI 患者手术室血压管理指南。TRACK-SCI 团队使用包括受伤性质和位置在内的患者数据,以及手术期间每五分钟记录一次的血压和心率时间序列读数,利用 DataRobot 中的自动特征发现功能发现新特征并建立预测模型来确定患者是否会好转。利用 DataRobot 的预测分析,TRACK-SCI 团队对许多变量对 SCI 患者结果的影响进行了严格检查。一个新颖的见解是,处于高血压状态的时间对患者好转的可能性有显著影响。
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.