Homecare and Medical Staffing Company Sees 10X Performance Improvement
Company Size
1,000+
Region
- America
Country
- United States
Product
- Sisense
Tech Stack
- Microsoft Dynamics
- Sisense
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Digital Expertise
- Productivity Improvements
Technology Category
- Analytics & Modeling - Predictive Analytics
- Analytics & Modeling - Real Time Analytics
- Application Infrastructure & Middleware - Data Visualization
Applicable Industries
- Healthcare & Hospitals
- Professional Service
Applicable Functions
- Business Operation
- Quality Assurance
Services
- Software Design & Engineering Services
- System Integration
About The Customer
BrightStar Care is a leading homecare and medical staffing company with over 14 years in business and 10 years of selling franchises. They have 340 locations throughout the United States and have been named by Forbes Magazine as one of the top ten best franchises in America for three consecutive years. BrightStar specializes in providing quality service at reasonable rates, and their success is heavily reliant on collecting and understanding data to optimize their performance. They aim to measure their IT processes, monitor franchise performance in scheduling and budgeting, and provide franchisees with the ability to monitor their own systems and reporting through embedded analytics.
The Challenge
BrightStar Care faced challenges in visualizing large volumes of data spread across multiple systems, including their home-grown application ABS, accounting software, help desk software, survey systems, and Microsoft Dynamics. They needed a solution to quickly answer business questions without rebuilding the entire pipeline for each new analysis. Additionally, they wanted to distribute their dashboard solution globally, allowing franchisees to access and visualize their own data easily. The complexity of the data and relationships between sources made it tedious to analyze, and they required a BI tool that offered self-service capabilities, agility for ad-hoc queries, visually attractive presentations, and a low cost of ownership.
The Solution
BrightStar Care implemented Sisense at every level of the company to gain insights and optimize their IT processes. Sisense was chosen for its simplicity, ability to be tested on their own data, and alignment with their criteria for a BI tool. The free POC and scalability of Sisense made it an ideal choice. Initially, BrightStar analyzed the usage of their internal reports to understand franchisee behavior and optimize report processing times. They discovered that Fridays were the highest traffic days for report usage, allowing them to plan for outages and load balance batch reports effectively. By evaluating report processing times and usage frequency, they identified problem areas and optimized report execution, resulting in a 10x performance improvement. This internal usage led to valuable insights and development ideas for both BrightStar and their franchisees.
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.
