Elder Research was tasked to evaluate the effectiveness of second opinions to encourage federal employees on long term disability to go back to work.
Elder Research built an automated fraud detection solution for NY DOL Unemployment Insurance Integrity Center of Excellence with annual savings of $1.4M
Elder Research developed an automated risk assessment framework to triage Worker’s Compensation claims, prioritizing high risk cases for manual review.
Join IBM data science evangelist James Kobielus and Dave Saranchak, a data scientist with Elder Research, to discover how Dave develops and applies statistical data modeling techniques for national security clients.
Elder Research developed and deployed a custom solution to identify and prioritize questionable contracts and healthcare claims for fraud investigation.
Elder Research created a risk model to help the USPS-OIG prioritize facility lease review to focus on facilities with the highest risk or financial impact.
Elder Research combined state-of-the-art text analytics with traditional statistical techniques to create a solution for ranking disability claims for approval. The results were more accurate and consistent than any single doctor’s decision and allowed 20% of the claims to be approved immediately.