US Healthcare Card

The Python SDK supports the Mindee V1 Healthcare Card API.

Product Specifications

Specification	Details
Endpoint Name	us_healthcare_cards
Recommended Version	v1.3
Supports Polling/Webhooks	✔️ Yes
Support Synchronous HTTP Calls	❌ No
Geography	🇺🇸 United States

Quick-Start

Using the sample below, we are going to illustrate how to extract the data that we want using the SDK.

Sample Code

#
# Install the Python client library by running:
# pip install mindee
#

from mindee import Client, product, AsyncPredictResponse

# Init a new client
mindee_client = Client(api_key="my-api-key")

# Load a file from disk
input_doc = mindee_client.source_from_path("/path/to/the/file.ext")

# Load a file from disk and enqueue it.
result: AsyncPredictResponse = mindee_client.enqueue_and_parse(
    product.us.HealthcareCardV1,
    input_doc,
)

# Print a brief summary of the parsed data
print(result.document)

Sample Output (rST)

########
Document
########
:Mindee ID: 5e917fc8-5c13-42b2-967f-954f4eed9959
:Filename: default_sample.jpg

Inference
#########
:Product: mindee/us_healthcare_cards v1.3
:Rotation applied: Yes

Prediction
==========
:Company Name: UnitedHealthcare
:Plan Name: Choice Plus
:Member Name: SUBSCRIBER SMITH
:Member ID: 123456789
:Issuer 80840:
:Dependents: SPOUSE SMITH
             CHILD1 SMITH
             CHILD2 SMITH
             CHILD3 SMITH
:Group Number: 98765
:Payer ID: 87726
:RX BIN: 610279
:RX ID:
:RX GRP: UHEALTH
:RX PCN: 9999
:Copays:
  +--------------+----------------------+
  | Service Fees | Service Name         |
  +==============+======================+
  | 20.00        | office_visit         |
  +--------------+----------------------+
  | 300.00       | emergency_room       |
  +--------------+----------------------+
  | 75.00        | urgent_care          |
  +--------------+----------------------+
  | 30.00        | specialist           |
  +--------------+----------------------+
:Enrollment Date:

Standard Fields

These fields are generic and used in several products.

BaseField

Each prediction object contains a set of fields that inherit from the generic BaseField class. A typical BaseField object will have the following attributes:

• value (Union[float, str]): corresponds to the field value. Can be None if no value was extracted.

• confidence (float): the confidence score of the field prediction.

• bounding_box ([Point, Point, Point, Point]): contains exactly 4 relative vertices (points) coordinates of a right rectangle containing the field in the document.

• polygon (List[Point]): contains the relative vertices coordinates (Point) of a polygon containing the field in the image.

• page_id (int): the ID of the page, always None when at document-level.

• reconstructed (bool): indicates whether an object was reconstructed (not extracted as the API gave it).

A Point simply refers to a list of two numbers ([float, float]).

Aside from the previous attributes, all basic fields have access to a custom __str__ method that can be used to print their value as a string.

DateField

Aside from the basic BaseField attributes, the date field DateField also implements the following:

• date_object (Date): an accessible representation of the value as a python object. Can be None.

StringField

The text field StringField only has one constraint: its value is an Optional[str].

Specific Fields

Fields which are specific to this product; they are not used in any other product.

Copays Field

Copayments for covered services.

A HealthcareCardV1Copay implements the following attributes:

• service_fees (float): The price of the service.

• service_name (str): The name of the service. Possible values include:

  • primary_care

  • emergency_room

  • urgent_care

  • specialist

  • office_visit

  • prescription

Attributes

The following fields are extracted for Healthcare Card V1:

Company Name

company_name (StringField): The name of the company that provides the healthcare plan.

print(result.document.inference.prediction.company_name.value)

Copays

copays (List[HealthcareCardV1Copay]): Copayments for covered services.

for copays_elem in result.document.inference.prediction.copays:
    print(copays_elem.value)

Dependents

dependents (List[StringField]): The list of dependents covered by the healthcare plan.

for dependents_elem in result.document.inference.prediction.dependents:
    print(dependents_elem.value)

Enrollment Date

enrollment_date (DateField): The date when the member enrolled in the healthcare plan.

print(result.document.inference.prediction.enrollment_date.value)

Group Number

group_number (StringField): The group number associated with the healthcare plan.

print(result.document.inference.prediction.group_number.value)

Issuer 80840

issuer_80840 (StringField): The organization that issued the healthcare plan.

print(result.document.inference.prediction.issuer_80840.value)

Member ID

member_id (StringField): The unique identifier for the member in the healthcare system.

print(result.document.inference.prediction.member_id.value)

Member Name

member_name (StringField): The name of the member covered by the healthcare plan.

print(result.document.inference.prediction.member_name.value)

Payer ID

payer_id (StringField): The unique identifier for the payer in the healthcare system.

print(result.document.inference.prediction.payer_id.value)

Plan Name

plan_name (StringField): The name of the healthcare plan.

print(result.document.inference.prediction.plan_name.value)

RX BIN

rx_bin (StringField): The BIN number for prescription drug coverage.

print(result.document.inference.prediction.rx_bin.value)

RX GRP

rx_grp (StringField): The group number for prescription drug coverage.

print(result.document.inference.prediction.rx_grp.value)

RX ID

rx_id (StringField): The ID number for prescription drug coverage.

print(result.document.inference.prediction.rx_id.value)

RX PCN

rx_pcn (StringField): The PCN number for prescription drug coverage.

print(result.document.inference.prediction.rx_pcn.value)