SmartLight Analytics is passionate about decreasing healthcare
costs for self-funded employers using advanced inferential analytics combined with expert clinical review.
These proven methods consistently reduce health spend by
3-5% for our customers.
Smarter Methodology =
We created a product that is driven by your specific employee health population. We let your data tell us where to look to reduce your spend.
Our systematic and regular review of healthcare claims means full service identification from wasteful spending to payment resolution
Employers are spending more each year to provide healthcare coverage for employees and taking on more financial risk without oversight for waste, fraud, errors and duplication.
A non-disruptive, high-impact clinical review and
data analysis designed to find significant savings for
self-funded employers’ healthcare benefit costs.
Our team has the critical experience required for effective assessment navigating the most complex healthcare databases in the U.S.
SmartLight’s clinical experts – including board certified physicians – provide a complete picture of medically appropriate care and clinical relevance.
Our veteran team of clinical and data experts applies dynamic inferential analytics to deliver the most complete savings for businesses.
Working alongside claims administrators, SmartLight Analytics developed a proven solution that substantially reduces waste and errors.
"SmartLight Analytics serves a very unique niche ...
Waste in healthcare accounts for a significant cross section of healthcare costs. When you factor in fraud and abuse, it is significant to the bottom line. Unless you have a proprietary system with methodologies in place to analyze claims from a clinical standpoint and using analytical data, that waste is dollars out of our employees’ wallets and our corporate coffers.”
Mike Adams, Dean Foods
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How can you deal with this increasingly complicated situation?
Read more about the expanding cost of and responsibilities associated with employer-sponsored healthcare.
Reduce healthcare spending
• Identify waste to create high-confidence, true positive findings.
• Multiply the power of data and clinical expertise with inferential analytics.