Jefferson University and Health System's Transformation with Domo
Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- Domo
Tech Stack
- Data Analytics
- Business Intelligence
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Customer Satisfaction
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Healthcare & Hospitals
- Education
Applicable Functions
- Business Operation
Use Cases
- Process Control & Optimization
- Predictive Quality Analytics
Services
- Data Science Services
About The Customer
Thomas Jefferson University and Jefferson Health are renowned institutions based in Philadelphia, PA. They are committed to providing excellent clinical and compassionate care to patients in the region, educating the health professionals of tomorrow in a variety of disciplines, and discovering new knowledge that will define the future of clinical care. As a rapidly growing university and health system, Jefferson has seen tremendous growth with a strong focus on four pillars: academic, clinical, philanthropy, and innovation. The organization's Blueprint for Strategic Action (BSA) is a testament to their commitment to leveraging technology to optimize operations, enhance the consumer experience, and deliver business value.
The Challenge
Jefferson University and Health System, a rapidly growing institution in the healthcare and education sector, was facing challenges in capturing metrics to measure the success of their Blueprint for Strategic Action (BSA) initiatives. The BSA was a strategic plan aimed at optimizing operations, enhancing consumer experience, and delivering business value. The Technology Innovation and Consumer Experience group within the Information Services & Technology team was tasked with leveraging technology to achieve these goals. However, they needed a way to operationalize the BSA in a manner that allowed the executive team to receive continuous updates on progress.
The Solution
Jefferson University and Health System implemented Domo, a business intelligence tool, to capture and analyze data related to their BSA initiatives. Domo helped the organization look at clinical processes to see how they could be optimized. For instance, they developed a latency detection application for the medical oncology appointment system. By plugging the data into Domo, they were able to gain insights into where there were opportunities to improve the process. Domo also served as a prototyping and administrative business intelligence platform for a major workflow change in the emergency department. The goal was to get people to a physician rapidly, and Domo helped achieve this by providing real-time, actionable data.
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
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.
