Clinical summarization is a critical step in health insurance claims underwriting. Insurers receive large volumes of medical documents across languages, formats, and quality levels. These documents are reviewed and summarized manually by doctors before underwriting decisions are made. While accurate, the process is time-intensive, expensive, and difficult to scale.
A leading health insurer sought to improve turnaround time and cost efficiency through automation, while maintaining strict standards of accuracy, interpretability, and data privacy.
The challenge was not summarization alone. Medical documents vary widely by provider, language, structure, and quality. Any automated system had to handle scanned and digital files, redact sensitive information, classify documents correctly, and produce summaries doctors could trust — without introducing operational or compliance risk.
Dhurin designed a clinical summarization framework that integrated document classification, translation, redaction, and summarization into a single workflow. Document quality, language, and type were assessed before applying appropriate summarization logic. The MVP was built with validation and user review at its core, with outputs evaluated directly by medical and operations teams to ensure accuracy, interpretability, and usability.
The insurer obtained a validated MVP capable of delivering reliable clinical summaries at scale. Manual effort reduced, processing speed improved, and underwriting teams were able to focus on judgment rather than transcription. The foundation was designed to extend safely into production as automation scope expanded.
