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Frequently asked questions
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Does DigitalOwl focus exclusively on electronic medical records?
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What format of electronic medical records can DigitalOwl process?
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How accurate are the DigitalOwl summaries with text and human handwriting?
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How is DigitalOwl working to improve accuracy?
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Are underwriters making decisions based solely on DigitalOwl summaries?
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What is the minimum number of pages needed to justify the summary costs?
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Is DigitalOwl’s Generative AI subject to modeling regulations? Does DigitalOwl anticipate any other hurdles?
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Do you have any case studies?
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Resources
Find more answers in our resources
Guides
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Videos
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Case Studies
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Blogs
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Use cases
Long heading is what you see here in this feature section
Condense complex medical records into a concise abstract providing a comprehensive, AI-enhanced 360-degree view of an applicant's medical history, enabling accurate and efficient risk assessments. Our products are designed by underwriters, for underwriters to ensure accurate and efficient risk assessments.
Use Case
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