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 2024-07-31-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: v4.0 (preview) | Previous versions:
v3.1 (GA)
v3.0 (GA)
This content applies to: v3.1 (GA) | Latest version:
v4.0 (preview) | Previous versions:
v3.0
This content applies to: v3.0 (GA) | Latest versions:
v4.0 (preview)
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 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 (2024-07-31-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
), HTMLRead ✔ ✔ ✔ 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 is2
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.
Note
Document Intelligence Studio is available with API version v3.0.
On the Document Intelligence Studio home page, select Health insurance cards.
You can analyze the sample insurance card document or select the ➕ Add button to upload your own sample.
Select the Run analysis button and, if necessary, configure the Analyze options :
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.
Feedback
https://aka.ms/ContentUserFeedback.
Coming soon: Throughout 2024 we will be phasing out GitHub Issues as the feedback mechanism for content and replacing it with a new feedback system. For more information see:Submit and view feedback for