US-Based Insurance Provider Digitizes Their Process Design Document to Save 75% in Documentation Overhead and Scale RPA
Company Size
1,000+
Region
- America
Country
- United States
Product
- Digital Blueprints
- Business Process Modeler
- Impact Explorer
- Reviews & Approvals
Tech Stack
- RPA
- Blueprint’s central repository
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
Technology Category
- Analytics & Modeling - Robotic Process Automation (RPA)
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
- Healthcare & Hospitals
Applicable Functions
- Business Operation
Use Cases
- Predictive Quality Analytics
- Process Control & Optimization
- Regulatory Compliance Monitoring
Services
- Software Design & Engineering Services
About The Customer
Founded in 2002, this US-based insurance company provides managed care services for government-sponsored health care programs, focusing on Medicaid and Medicare. They also offer health plans for families, children, and the aged, blind, and disabled, as well as prescription drug plans. The company has over 12,000 employees and generates an annual revenue of $20 billion. They have been a customer since 2016.
The Challenge
The insurance provider was mandated to move from their current process of using BRD/FSD documents to PDD documents to define automated processes, which is only available as a word document. On average, it took a full working day to finalize a PDD and even then, they struggled to get process screenshots in line with steps. The screenshots, which were critical for improving developer understanding of what was required, would show up as attachments at the end which was not useful because the developers still would have to flip back and forth through the documents. They quickly realized that their current documentation processes were flawed and prone to error, necessitating a more scalable way to translate business process requirements into technical requirements for their RPA development teams.
The Solution
The insurance provider began working with Blueprint to leverage Digital Blueprints which contain everything needed to deliver a precise guide to bot developers including detailed process flows, functional and non-functional requirements, user stories, compliance and regulatory requirements, and both functional and acceptance tests among other critical information that can be instantly referenced. Since all critical information could be automatically generated or was stored in Blueprint’s central repository and merely needed to be connected to the process, stakeholders were able to compile Digital Blueprints in 2 hours instead of 8. Key aspects of the Enterprise Automation Suite that drove automation success include the Business Process Modeler, Impact Explorer, Reviews & Approvals, and Digital Blueprints. The automation team leveraged Digital Blueprints that contain detailed process flows, functional and non-functional requirements, user stories, compliance and regulatory requirements, and both functional and acceptance tests among other critical information. Their Digital Blueprints were automatically pushed into the RPA tool they used for developers to reference and guide precise development.
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.
