Case Study: Cigna improves health insurance policy analysis with Zymr's AI-native platform

Cigna achieves over 80% accuracy with Zymr's AI-native policy analysis

Cigna, a major health insurance provider in Texas, faced the challenge of manually comparing its policy benefits and pricing against competitors. This process was time-consuming and error-prone due to the vast number of policy documents in PDF format. To stay competitive, Cigna engaged Zymr to develop an automated healthcare IT service that could accurately extract and analyze this critical information.

Zymr developed and deployed an AI-native platform on Azure, utilizing NLP, OCR, and machine learning capabilities. Their solution included an AI engine with a data ingestion pipeline built with Kafka and an ML model for named entity recognition developed with BERT and spaCy. This allowed Zymr to automate the extraction of relevant data from documents, achieving over 80% accuracy in evaluating policy coverage and costs. The implementation provided Cigna with a secure, cost-efficient operating pipeline and generated clear financial reports for management, enabling effective competitive analysis.

Cigna