Case Study: a large, state-run health organization achieves 84% document reduction and $66,295 savings with Consilio analytics and smart review

a large, state-run health organization reduces review volume by 84% with Consilio

The customer, a large state-run health organization, faced the challenge of efficiently identifying personally identifiable and protected health information within a massive dataset of nearly one million documents. With tight deadlines and a need to control costs, they engaged Consilio to implement smart data culling and review techniques using the vendor's analytics and sensitive data screening tools.

Consilio processed the data and applied targeted search terms and machine learning to identify relevant documents. This approach achieved an 84% reduction in document volume for review and improved reviewer output by 30%. As a result, Consilio delivered $66,295 in cost savings for the client over traditional review methods.