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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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  • Use Case
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  • Use Case
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  • Use Case
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