DigitalOwl is an AI-powered platform that transforms unstructured medical records into structured data, enabling faster and more accurate reviews for insurance and legal professionals. By automating the medical review process, it reduces processing time by up to 72% while maintaining an accuracy rate of 97% or higher.
Funding
$40.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
RGFounders
Product
Problem
Reviewing medical records is a time-consuming and complex process for insurance and legal professionals, often involving manual analysis of unstructured data. This can lead to delays, inaccuracies, and increased operational costs.
Solution
DigitalOwl provides an AI-powered platform that transforms unstructured medical records into structured, actionable data. The platform automates the extraction of key information from various medical documents, including EMRs, APSs, lab results, and handwritten notes. By converting unstructured data into a structured format, DigitalOwl enables faster and more accurate medical reviews, streamlines decision-making, and facilitates integration with existing systems. The platform offers AI-enhanced medical summaries, automated audit reports, a data API for seamless integration, a conversational AI assistant, and AI-assisted decision workflows.
Target Audience
DigitalOwl primarily serves professionals in the life and health insurance, property and casualty (P&C) insurance, and legal industries who need to review and analyze medical records.
Features
- AI-powered extraction of data from unstructured medical records
- Conversion of unstructured data into structured data for machine processing
- AI-enhanced medical summaries providing a 360-degree view of an individual's medical history
- Automated audit reports for efficient triaging and compliance checks
- Data API for seamless integration with existing systems
- Conversational AI assistant for interactive exploration of medical records
- AI-assisted decision workflows for evidence-based recommendations
- Click-to-evidence functionality for easy verification of information
- HIPAA and SOC2 compliance for data security