Business Process Optimization for Healthcare Services
Company Size
1,000+
Region
- America
Country
- United States
Product
- Alpine Chorus
Tech Stack
- Predictive Analytics
- Data Blending
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Digital Expertise
- Productivity Improvements
Technology Category
- Analytics & Modeling - Predictive Analytics
Applicable Industries
- Healthcare & Hospitals
Applicable Functions
- Business Operation
Use Cases
- Predictive Maintenance
Services
- Data Science Services
About The Customer
The customer is a leading provider of Specialty Benefits Management solutions with a net worth of $1.5B. They provide services to payers and other risk-bearing entities, such as Accountable Care Organizations (ACOs). The company serves over 70 million insured members and processes over 2.5 million patient transactions every month. As a benefits organization, they deal with an extraordinary amount of data from medical procedures, insurance claims, to patient data.
The Challenge
The Company, a leading provider of Specialty Benefits Management solutions, was struggling with managing the extraordinary amount of data associated with benefits management in healthcare. As the number of insured members increased, it became crucial for them to leverage the constant influx of data to achieve operational efficiency. Their previous approach involved multi-month cycles with IT normalizing the data, and inconsistent ways of implementing their models into production. In order to scale their data efforts and achieve a more streamlined process, the company needed an end-to-end advanced analytics solution, from data blending to modeling.
The Solution
The Company adopted the Alpine Chorus platform, an end-to-end advanced analytics solution. This platform allowed the company to deploy advanced analytics solutions across business units easily and efficiently. The process of preparing and modeling the data for a particular unit is centralized within the Alpine Chorus platform, and allows business users to maintain governance over the entire process without putting stress on their data science team. Business analysts at The Company are able to access the power of predictive analytics through the Alpine platform, and can make determinations for authorizing medical procedures based on the new data. For the first time, The Company’s analysts can receive the input and approvals of various stakeholders in the analytics process from one collaborative platform, allowing them to deploy predictive models into production without wasted cycles.
Operational Impact
Quantitative Benefit
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