Document Intelligence health insurance card model

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 2024-02-29-preview.
• Public preview version 2024-02-29-preview is currently only available in the following Azure regions:
• East US
• West US2
• West Europe

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

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 and 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

Development options

Document Intelligence v4.0 (2024-02-29-preview, 2023-10-31-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

Input requirements

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

• Supported file formats:

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

• For PDF and TIFF, up to 2000 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 x 50 pixels and 10,000 px 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 1G-MB for the neural model.

  • For custom classification model training, the total size of training data is 1GB 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.

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 :

   

   Try Document Intelligence Studio.

Supported languages and locales

See our Language Support—prebuilt models page for a complete list of supported languages.

Field extraction

Field	Type	Description	Example
Insurer	string	Health insurance provider name	PREMERA BLUE CROSS
Member	object
Member.Name	string	Member name	ANGEL BROWN
Member.BirthDate	date	Member date of birth	01/06/1958
Member.Employer	string	Member name employer	Microsoft
Member.Gender	string	Member gender	M
Member.IdNumberSuffix	string	Identification Number Suffix as it appears on some health insurance cards	01
Dependents	array	Array holding list of dependents, ordered where possible by membership suffix value
Dependents.*	object
Dependents.*.Name	string	Dependent name	01
IdNumber	object
IdNumber.Prefix	string	Identification Number Prefix as it appears on some health insurance cards	ABC
IdNumber.Number	string	Identification Number	123456789
GroupNumber	string	Insurance Group Number	1000000
PrescriptionInfo	object
PrescriptionInfo.Issuer	string	ANSI issuer identification number (IIN)	(80840) 300-11908-77
PrescriptionInfo.RxBIN	string	Prescription issued BIN number	987654
PrescriptionInfo.RxPCN	string	Prescription processor control number	63200305
PrescriptionInfo.RxGrp	string	Prescription group number	BCAAXYZ
PrescriptionInfo.RxId	string	Prescription identification number. If not present, defaults to membership ID number	P97020065
PrescriptionInfo.RxPlan	string	Prescription Plan number	A1
Pbm	string	Pharmacy Benefit Manager for the plan	CVS CAREMARK
EffectiveDate	date	Date from which the plan is effective	08/12/2012
Copays	array	Array holding list of Co-Pay Benefits
Copays.*	object
Copays.*.Benefit	string	Co-Pay Benefit name	Deductible
Copays.*.Amount	currency	Co-Pay required amount	$1,500
Payer	object
Payer.Id	string	Payer ID Number	89063
Payer.Address	address	Payer address	123 Service St., Redmond WA, 98052
Payer.PhoneNumber	phoneNumber	Payer phone number	+1 (987) 213-5674
Plan	object
Plan.Number	string	Plan number	456
Plan.Name	string	Plan name - If Medicaid -> then medicaid (all lower case).	HEALTH SAVINGS PLAN
Plan.Type	string	Plan type	PPO
MedicareMedicaidInfo	object
MedicareMedicaidInfo.Id	string	Medicare or Medicaid number	1AB2-CD3-EF45
MedicareMedicaidInfo.PartAEffectiveDate	date	Effective date of Medicare Part A	01-01-2023
MedicareMedicaidInfo.PartBEffectiveDate	date	Effective date of Medicare Part B	01-01-2023

Migration guide and REST API v3.1

• Follow our Document Intelligence v3.1 migration guide to learn how to use the v3.1 version in your applications and workflows.

• Explore our REST API to learn more about the v3.1 version and new capabilities.

Next steps

• Try processing your own forms and documents with the Document Intelligence Studio.

• Complete a Document Intelligence quickstart and get started creating a document processing app in the development language of your choice.