Patient Registration Data Capture from Driver License PDF417

The Data-Entry Problem in healthcare registration

Registration teams repeatedly enter patient demographic and address data, while mistakes can propagate into billing and contact records. Teams also need to distinguish a readable barcode from a verified person or authentic credential; combining those concepts creates compliance and product risk.

Deterministic Barcode Parsing with Human Confirmation

Pre-fill non-clinical registration fields from the license barcode and require patient or staff confirmation before updating the patient record. StructOCR's driver license PDF417 API decodes the barcode and parses the AAMVA record without asking a generative model to reconstruct unreadable values. Keep protected health information and identity data inside the organization's approved privacy and security controls.

Workflow Applications

Server-Side PDF417 Integration

Send the complete license-back image from a protected backend. This example selects fields relevant to healthcare registration and handles HTTP 422 as a retake or review state.

import base64
import os
import requests

with open("license-back.jpg", "rb") as image_file:
    image = base64.b64encode(image_file.read()).decode("ascii")

response = requests.post(
    "https://api.structocr.com/v1/driver-license-pdf417",
    headers={"x-api-key": os.environ["STRUCTOCR_API_KEY"]},
    json={"img": image},
    timeout=30,
)

if response.status_code == 422:
    print("Retake or review:", response.json().get("error"))
else:
    response.raise_for_status()
    data = response.json()["data"]
    print("given_names:", data.get("given_names"))
    print("surname:", data.get("surname"))
    print("address:", data.get("address"))

{
  "success": true,
  "data": {
    "type": "drivers_license",
    "source": "pdf417",
    "country_code": "USA",
    "region": "CA",
    "document_number": "SAMPLE1234",
    "surname": "SAMPLE",
    "given_names": "ALEX MORGAN",
    "first_name": "ALEX",
    "middle_name": "MORGAN",
    "sex": "X",
    "date_of_birth": "1990-01-15",
    "date_of_issue": "2025-01-15",
    "date_of_expiry": "2030-01-15",
    "address": "100 EXAMPLE AVE",
    "city": "SAMPLE CITY",
    "postal_code": "00000",
    "vehicle_class": "C",
    "restrictions": null,
    "endorsements": null,
    "document_discriminator": "SAMPLE-DISCRIMINATOR",
    "issuer_identification_number": null,
    "aamva_version": 10,
    "jurisdiction_version": 0
  }
}