DigitalOwl uses NLP to ingest, structure, and summarize medical records, enabling underwriters and claims professionals to review complex medical histories in minutes rather than hours. The platform extracts diagnoses, medications, procedures, and timeline information from unstructured documents. It serves life, health, and P&C carriers. It is document extraction at its most specialized — see OCR vs IDP for why medical records defeat template-based tools.
Key features: Automated medical record summarization and structuring · Extraction of diagnoses, medications, and treatment timelines · Underwriting red-flag flagging and risk highlighting · Claims medical review acceleration · Integration with underwriting and claims workflows
Pros: Significantly reduces time to review lengthy medical records · Consistent structured output improves underwriting accuracy · Applicable across life, health, and P&C lines · Supports both underwriting and claims use cases
Cons: Accuracy limited by poor-quality scans or handwritten documents · Requires workflow integration effort · Pricing not publicly listed
Pricing: Quote-based, not publicly listed.
Best for: mid-large carriers
Audience: carrier
