Driving Executive Healthcare Decisions With a Dynamic View of Data
Company Size
1,000+
Region
- America
Country
- United States
Product
- Pyramid Analytics
Tech Stack
- Business Intelligence (BI)
- Data Visualization
- Analytics Platform
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Digital Expertise
- Productivity Improvements
Technology Category
- Analytics & Modeling - Predictive Analytics
- Application Infrastructure & Middleware - Data Visualization
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Healthcare & Hospitals
Applicable Functions
- Business Operation
- Quality Assurance
Services
- System Integration
- Training
About The Customer
Based in Paterson, New Jersey, St. Joseph’s Health is a hospital and healthcare system that includes the St. Joseph’s University Medical Center, Children’s Hospital, Wayne Medical Center, and other management units across multiple campuses. The system also includes more than 30 New Jersey community-based facilities. Regularly recognized among the top hospitals in New Jersey, the hospital system also provides award-winning healthcare services to the New York Metropolitan Area.
The Challenge
As St. Joseph’s Health wrestled with rising costs and a more competitive medical environment, analytics leaders at St. Joseph’s Health were keen to use business intelligence (BI) and analytics to increased financial performance, negotiate better rates with insurers and payers, and negotiate better costs without impacting the quality of care. But despite a huge IT infrastructure that spans all its primary management units, senior decision-makers continued to use static, manual data reporting. Executives needed sophisticated data presented to them as simply and clearly as possible, shortening their path to successful decision-making.
The Solution
Pyramid Analytics enables executives at St. Joseph’s Health to access clearer, more dynamic, more strategic ways of visualizing financial and clinical data. Where static daily reports were once the norm, simplified interfaces and sharing capabilities allow for consistently better decision-making at the highest levels of the organization. As an enterprise-grade BI and analytics platform, Pyramid Analytics supports full-service workflows in a governed environment. But unlike other BI tools, Pyramid Analytics enables nontechnical users to easily prepare, modify, and visualize data for more informed business decision-making—even among time-sensitive executives. Executives could now access data and trends in a simple dashboard and then make qualitative judgments based on the results. In time, they moved beyond simple line charts to understand the data behind them—a natural transition from the static numbers to which they were accustomed to a more meaningful way of understanding their business.
Operational Impact
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.
