Trexin helped a medical malpractice liability insurer use machine learning to target $4.3M in annual savings
Trexin helped a medical malpractice liability insurer use machine learning to target $4.3M in annual savings
1 PagesTREXIN CASE STUDY © TREXIN CONSULTING, LLC CONTACT US Healthcare Practice hc@trexin.com www.trexin.com IDENTIFYING HIGH-RISK CLAIMS AT FIRST NOTICE OF LOSS Trexin helped a medical malpractice liability insurer use machine learning to target $4.3M in annual savings. BUSINESS DRIVER Our Client, an innovative medical malpractice liability insurance company, estimated that identifying high-risk-of-indemnity cases at first notice of loss and then proactively managing those cases sooner could save them over $4 million annually, both for indemnity as well as legal and related expenses. But reviewing new cases was entirely a manual process that required highly compensated, skilled personnel. Additionally, these highly skilled personnel were already over-leveraged working on the m
