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Document Intelligence health insurance card model

  • บทความ

Important

  • Document Intelligence public preview releases provide early access to features that are in active development. Features, approaches, and processes may change, prior to General Availability (GA), based on user feedback.
  • The public preview version of Document Intelligence client libraries default to REST API version 2024-07-31-preview.
  • Public preview version 2024-07-31-preview is currently only available in the following Azure regions. Note that the custom generative (document field extraction) model in AI Studio is only available in North Central US region:
    • East US
    • West US2
    • West Europe
    • North Central US

This content applies to:checkmark v4.0 (preview) | Previous versions: blue-checkmark v3.1 (GA) blue-checkmark v3.0 (GA)

This content applies to: checkmark v3.1 (GA) | Latest version: purple-checkmark v4.0 (preview) | Previous versions: blue-checkmark v3.0

This content applies to: checkmark v3.0 (GA) | Latest versions: purple-checkmark v4.0 (preview) purple-checkmark v3.1

The Document Intelligence health insurance card model combines powerful Optical Character Recognition (OCR) capabilities with deep learning models to analyze and extract key information from US health insurance cards. A health insurance card is a key document for care processing. It can be digitally analyzed for patient onboarding, financial coverage information, cashless payments, and insurance claim processing. The health insurance card model analyzes health card images; extracts key information such as insurer, member, prescription, and group number; and returns a structured JSON representation. Health insurance cards can be presented in various formats and quality including phone-captured images, scanned documents, and digital PDFs.

Sample health insurance card processed using Document Intelligence Studio

Screenshot of sample health insurance card processed in the Document Intelligence Studio.

Development options

Document Intelligence v4.0 (2024-07-31-preview) supports the following tools, applications, and libraries:

Feature Resources Model ID
Health insurance card model • Document Intelligence Studio
• REST API
• C# SDK
• Python SDK
• Java SDK
• JavaScript SDK		 prebuilt-healthInsuranceCard.us

Document Intelligence v3.1 supports the following tools, applications, and libraries:

Feature Resources Model ID
Health insurance card model • Document Intelligence Studio
• REST API
• C# SDK
• Python SDK
• Java SDK
• JavaScript SDK		 prebuilt-healthInsuranceCard.us

Document Intelligence v3.0 supports the following tools, applications, and libraries:

Feature Resources Model ID
Health insurance card model • Document Intelligence Studio
• REST API
• C# SDK
• Python SDK
• Java SDK
• JavaScript SDK		 prebuilt-healthInsuranceCard.us

Input requirements

  • Supported file formats:

    Model PDF Image:
    JPEG/JPG, PNG, BMP, TIFF, HEIF    		 Microsoft Office:
    Word (DOCX), Excel (XLSX), PowerPoint (PPTX), HTML
    Read ✔ ✔ ✔
    Layout ✔ ✔ ✔ (2024-07-31-preview, 2024-02-29-preview, 2023-10-31-preview)
    General Document ✔ ✔
    Prebuilt ✔ ✔
    Custom extraction ✔ ✔
    Custom classification ✔ ✔ ✔ (2024-07-31-preview, 2024-02-29-preview)

  • For best results, provide one clear photo or high-quality scan per document.

  • For PDF and TIFF, up to 2,000 pages can be processed (with a free tier subscription, only the first two pages are processed).

  • The file size for analyzing documents is 500 MB for paid (S0) tier and 4 MB for free (F0) tier.

  • Image dimensions must be between 50 pixels x 50 pixels and 10,000 pixels x 10,000 pixels.

  • If your PDFs are password-locked, you must remove the lock before submission.

  • The minimum height of the text to be extracted is 12 pixels for a 1024 x 768 pixel image. This dimension corresponds to about 8 point text at 150 dots per inch (DPI).

  • For custom model training, the maximum number of pages for training data is 500 for the custom template model and 50,000 for the custom neural model.

    • For custom extraction model training, the total size of training data is 50 MB for template model and 1 GB for the neural model.

    • For custom classification model training, the total size of training data is 1 GB with a maximum of 10,000 pages. For 2024-07-31-preview and later, the total size of training data is 2 GB with a maximum of 10,000 pages.

Try Document Intelligence Studio

See how data is extracted from health insurance cards using the Document Intelligence Studio. You need the following resources:

  • An Azure subscription—you can create one for free.

  • A Document Intelligence instance in the Azure portal. You can use the free pricing tier (F0) to try the service. After your resource deploys, select Go to resource to get your key and endpoint.

Screenshot of keys and endpoint location in the Azure portal.

Note

Document Intelligence Studio is available with API version v3.0.

  1. On the Document Intelligence Studio home page, select Health insurance cards.

  2. You can analyze the sample insurance card document or select the ➕ Add button to upload your own sample.

  3. Select the Run analysis button and, if necessary, configure the Analyze options :

    Screenshot of Run analysis and Analyze options buttons in the Document Intelligence Studio.

    Try Document Intelligence Studio.

Supported languages and locales

For a complete list of supported languages, see our prebuilt model language support page.

Field extraction

For supported document extraction fields, refer to the health insurance card model schema page in our GitHub sample repository.

Migration guide and REST API v3.1

Next steps