Case Studies
Apr 17, 2024
Our Client
This Fortune 500 company leverages technology to provide health insurance for millions of people across the U.S. For their customers, they merge the power of data with a full range of benefits to improve the healthcare experience from top to bottom.
Industry
Healthcare Payer
Company Size
100,000+
Revenue
$2B+
Location
United States
Objective
The client faced a major challenge with their data management. Their team manually updated various disconnected data sources that fed data into multiple different applications and processes. This approach involved many variations and led to inefficiencies. Requests from users dictated the workflow, often resulting in errors and wasted effort as team members navigated a complex, fragmented landscape.
To address this problem, the client aimed to streamline their processes. By thoroughly understanding the intricacies of their existing system, they sought to:
- Standardize processes to reduce complexity and variability.
- Reduce errors and rework caused by lack of structure.
- Decrease the effort required from users by removing redundant, non-process applications.
- Automate workflows for smoother operation.
$15M
Cost Savings
in potential savings identified
$9M
Automation
in potential savings from automation identified
Solution
Skan AI generated actionable insights on the inner workings of case processing, capturing and measuring key metrics like processing times, turnaround times, and process variability that impact workflow efficiency. By incorporating critical business attributes with operational metrics, Skan AI revealed how these attributes influence processing workflows and timelines.
Digging deeper, Skan AI unearthed insights into utilization rates across process and non-process applications, including activity switching. They spotlighted processes requiring excessive manual intervention across multiple applications, identifying automation opportunities waiting to be seized.
With Skan AI's insights highlighting the path forward, opportunities abound to optimize workflows, reduce manual tasks, and leverage automation, transforming case processing from a slog into a well-oiled machine.
Outcome
Skan AI demonstrated its expertise by uncovering significant cost-saving opportunities for the client. Through a detailed analysis, Skan AI identified $15 million in potential savings, including $9 million in potential automation efficiencies.
Skan AI dug into the client's data, noting issues like semi-structured data and limited transaction traceability that were leading to error fallouts.
Leveraging these insights, Skan AI worked collaboratively with the client to identify customized solutions, increasing productivity and dramatically improving quality. The engagement showcased Skan AI's ability to partner with clients to realize operational excellence and bottom-line impact.