Springbuk Insights

Discover how to direct your time and resources to your most
meaningful opportunities by understanding what you can act on today.
See it in Action
Springbuk Insights

Curated direction for actionable opportunities.

Springbuk Insights™ goes beyond analyzing claims and wellness data; it generates actionable strategies and predicts members at-risk of conditions to more effectively guide disease management resources and risk mitigation strategies.

Prioritize Benefits Strategy Specific to Your Population

Insights features five unique categories to quickly organize your opportunities:
- Risk Mitigation
- Care Efficiency
- Drug Savings
- Steerage Procedures
- Potentially Unnecessary Procedures

Identify Target Populations With Prioritized Impact

Easily create cohorts from Insights to track populations throughout the platform.

Get the Resources You Need to Optimize Your Impact

Take your recommendations a step further by filtering to identify the most impactful opportunities within your cohorts.

Focused Insights: Leverage Health Intelligence at Your Fingertips

Save valuable time and contain monthly spend by understanding the most impactful opportunities you can act on today with Springbuk Insights.

$3 Million

In plan savings Identified in an employee population with 1,200 members with a diabetic gap in care

$1,000+ Variance

Uncovered in an employer's cost of MRI/CT scans based on Outpatient vs. Office settings

$9 Million

In total savings found across a benefits advising team's book of business

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
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