Measure & Manage Your Health Claims Data
Health analytics provide the foundation for understanding your population’s health trends and patterns. However, to identify your greatest cost-saving opportunities, you need tools to dig deeper into your data.
That’s why we built the Springbuk Claims page to help you analyze and drill into specific medical and pharmacy claims contributing to your overall spend.
Deliver Accuracy & Understanding
Drill Into Your Total Claims Spend Within a Specific Date Range
This filtering capability allows you to see and compare the breakdown of the medical spend vs. Rx spend over the current rolling 12 months.
Visualize High-Level Claims Spend
Use the interactive 12-month Trend Graph to see monthly spend, along with an overlaid budget trend line to easily identify if claims spend is over or under budget.
Understand Year-Over-Year Spend Drivers
The Recent vs. Previous Comparison Module displays the largest spend drivers within your population based on the top 100 highest-cost drugs and diagnoses.
How Springbuk Delivers Actionable Health Data Insights
Extend Your Claims Analysis with Springbuk Advanced Reports
Stop-Loss Analysis
Visualize the impact of high-cost claimants, specific deductible amounts, and dates on your organization's monthly healthcare spend.
High-Cost Claimant Overview
Analyze claimants by total percent of spend, demographic analysis, top costing diagnoses, and spending breakdown.
High-Cost Claimant Details
Assess details of spending distribution for medical and pharmacy costs, as well as reimbursement specifics.
Data-Driven Plan Design Mitigates Risk of Opioid Abuse
When analyzing an employer's aggregate data within the Springbuk platform, a benefit advising team identified one of the greatest opportunities in the population came from connecting opioid usage with mental health. Of the active population, Springbuk Insights uncovered:
- 2% of all employees flagged as potential opiate abusers
- When removing high-cost claimants (employees with > $100k spend in the past 12 months), the average spend for potential opiate abusers was four times the average spend of employees not at risk
- 80% of employees at-risk for opioid abuse were also categorized with Orthopedic or Psychiatric conditions
Uncover More Insight into Employee Health Trends
All Posts
More than health benefits data, a world of insight at your finger tips.
Springbuk is the health data analytics solution that equips employers and benefits advisors with the deep, immediate insights they need to sharpen strategies, improve health, and contain costs.
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