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Data-driven insight. Deep expertise. Transformative innovation. Since 1947, Milliman has delivered intelligent solutions to improve health and financial security.
Bring underutilized data into focus with the power of AI and predictive analytics.
Nodal® is a comprehensive solution that uses artificial intelligence (AI) and machine learning to analyze structured and unstructured data. Gain powerful insights into jumper claims, litigation likelihood, excessive medical cost, and more. With intelligent, automated claims triage and cost benchmarking, Nodal helps you to improve internal processes, address skill gaps, and manage ever-growing medical and litigation costs.
Optimize claims performance, identify at-risk claims, and reduce cost
Combat rising workers’ compensation insurance costs with data-driven benchmarks and targeted early intervention.
Enhance your captive with risk retention alternatives, pricing and funding, financial modeling, and claims management.
Lower loss and loss adjustment expense costs, get litigation support, and improve claims operations.
Uniquely independent, Milliman provides reserve analyses and practical advice to the entire range of insurance entities. With more than seven decades of experience, we bring an unparalleled depth of technical knowledge, which allows us to communicate our work with exceptional clarity.
Analyze unpaid claims liabilities with industry-leading stochastic and deterministic reserving tools and methods.
Detect patterns in attorney billing practices using powerful algorithms, helping manage costs and improve claims defense.
With the CMS, Medicare Advantage organizations, Medicaid organizations, and health plans experimenting with bundled payments, we offer a primer and perspectives.
Thanks to advances in artificial intelligence (AI) and predictive analytics, as well as accessibility to group health data, workers’ compensation payers can quickly identify opportunities to lower claim costs through…
Inflation can affect worker’s compensation due to its long-tailed nature, and we can estimate the impact using some simplifying assumptions.
This article discusses how artificial intelligence and machine learning are used to gather comprehensive claims data from structured and unstructured data fields, solving complex problems and reducing total cost of risk.
Using Milliman Nodal’s proprietary natural language processing (NLP) algorithm, we identified claims with references to plaintiff attorney representation in the adjuster notes.
As the claims triage process experiences more complex pressures, advances in artificial intelligence are giving insurers rich data and actionable insights to efficiently allocate resources and lower claims costs.
As analytics move increasingly into operations, we aim to demystify the topic and bring it easily within operational reach to claims professionals.
Learn how to maximize your ROI by integrating your claims data with AI.
Claim analytics using artificial intelligence represents a proven method to reduce claim severity and improve the efficiency of claim-handling resources.
Learn how predictive analytics differ from other approaches to data—and how it can help your business.
Multiple body part claims can be translated into specific combinations of body parts by extracting data from unstructured data using text mining algorithms.
Milliman wins three InsuranceERM Americas Awards for its insurtech products and risk consulting services
With U.S. inflation hitting a 40-year high, workers' compensation claims could…
With medical expenses in workers’ compensation continuing to rise, data is…
See how you can use AI to predict claim outcomes based on underutilized data.
See how Nodal helps IRMA reduce costs and improve claim management.
Milliman, Inc., a premier global consulting and actuarial firm, is pleased to…
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