GE Healthcare Launches Health Cloud on AWS, Improving Collaboration and Patient Outcomes
---nasdaq--amzn_14.jpg "Amazon Web Services Logo")
Company Size
1,000+
Region
- America
Country
- United States
Product
- GE Health Cloud
- Amazon SageMaker
- Amazon Aurora
- Amazon S3
- Amazon EC2
Tech Stack
- AWS Cloud
- Amazon Cognito
- AWS Service Catalog
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Productivity Improvements
Technology Category
- Analytics & Modeling - Machine Learning
- Infrastructure as a Service (IaaS) - Cloud Computing
Applicable Industries
- Healthcare & Hospitals
Applicable Functions
- Product Research & Development
- Quality Assurance
Use Cases
- Predictive Maintenance
- Remote Asset Management
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
About The Customer
GE Healthcare is a subsidiary of General Electric, headquartered in Chicago, Illinois. The organization manufactures and distributes diagnostic imaging equipment, as well as imaging agents and radiopharmaceuticals used in medical imaging procedures. Founded in 1994, GE Healthcare operates globally and has a presence in more than 100 countries. The company is known for its medical imaging equipment and diagnostic imaging agents, but has been undergoing a digital transformation over the last several years. Every day, healthcare data flows through millions of medical devices, including more than 500,000 GE Healthcare medical imaging devices globally.
The Challenge
GE Healthcare, a leading manufacturer and distributor of diagnostic imaging equipment, was seeking to improve patient outcomes by reducing workflow processing time through the sharing of medical image data across specialists and referring physicians. The company wanted to increase the value derived from device usage and data by enabling the leverage of cloud compute, storage, and access. The challenge was that up to 35 percent of patient cases were being misdiagnosed, partially due to a lack of access to images, data, and records. Additionally, better interoperability between systems could save healthcare ecosystems $30 billion per year, according to GE Healthcare.
The Solution
To address the challenge, GE Healthcare launched the GE Health Cloud in the United States. This cloud-based solution provides radiologists and other healthcare professionals with a single portal to access enterprise imaging applications to view, process, and easily share images and patient cases. The GE Health Cloud runs on Amazon Elastic Compute Cloud (Amazon EC2) instances, with close to 1 petabyte of medical imaging data stored on Amazon Simple Storage Service (Amazon S3). The company relies on Amazon Aurora as its database service, and it uses the AWS Service Catalog to create and manage IT services. GE Healthcare also takes advantage of Amazon Cognito for federated single sign-on to the Health Cloud for customers.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
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.
