Extract data from Treatment form
thanks to an AI OCR

Koncile's AI OCR, a solution for extracting data from Treatment forms, powered by AI, finally reliable, customizable and available as an API.

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Scan PDFs into Text with Automatic Extraction from Medical Claim Forms Automatically extract key information from healthcare claim forms such as patient name, performed procedures, reimbursed amount, attending physician, and date of care. Turn scanned forms into structured, machine-readable data for faster processing and better health record management.Scan PDFs into Text with Automatic Extraction from Medical Claim Forms Automatically extract key information from healthcare claim forms such as patient name, performed procedures, reimbursed amount, attending physician, and date of care. Turn scanned forms into structured, machine-readable data for faster processing and better health record management.

The best teams work with Koncile

Analyze and pre-validate medical claim forms with intelligent data capture.

Koncile’s OCR for Medical Claim Forms is the ideal solution for quickly organizing and processing healthcare form data.
It automatically extracts key information such as patient name, physician name, provided care, reimbursed amount, and other essential medical details.
It also helps detect inconsistencies or errors across large volumes of documents.

Upload claim forms in image or PDF format into the Koncile OCR system and receive structured data in spreadsheet, JSON, or database-ready formats—easily processed by machines.

Scan PDFs into Text with Automatic Extraction from Medical Claim Forms Automatically extract key information from healthcare claim forms such as patient name, performed procedures, reimbursed amount, attending physician, and date of care. Turn scanned forms into structured, machine-readable data for faster processing and better health record management.
Image de Pierre Laprée, CEO de Spend HQ.

Pierre Laprée

Founder & CPO at SpendHQ

Koncile automates the intelligent extraction of contractual data. Despite the complexity of our clients’ contracts, the tool ensures quality and speed, saving us valuable time.

Extracted information includes

Koncile’s OCR engine captures essential information from medical claim forms, streamlining the work of healthcare professionals, pharmacists, and health administrators.It digitizes and structures data from claim forms in image or PDF format.You can automatically extract key information such as patient name, physician name, provided care, and reimbursed amount, and also analyze and verify this data against databases or custom validation rules.

Nom

Type

Exemple

Instruction

Validité

Text

Oui

Vérifie que le RIB est bien constitué des éléments suivants :
- Code banque (5 chiffres)
- Code guichet (5 chiffres)
- Numéro de compte (11 caractères alphanumériques)
- Clé RIB (2 chiffres)
Si les RIB est bien constitué de ces éléments, choisis la valeur "Oui". Sinon choisis la valeur "Non".

Patient name

Text Dupont

Doctor's name

Text Martin

RPPS number

Number 1016474274

Services provided

Text General medical consultation - Code: A01/Blood analysis - Code: B02 Look for sections where benefits or treatments are mentioned. Identify titles such as “Services provided”, “Medical acts”, or “Care provided”. For each service, extract the name, the service code, and a description if present.

Refunded amount:

Text General medical consultation: €25.00/Blood test: €15.00 Look for sections where amounts are mentioned, such as “Amount refunded”, “Refund”, “Expenses reimbursed”, or “Total.” Extract the amounts associated with each benefit and the total sum.
Flèche courbée vers le haut.

Add any extraction field

Flèche courbée vers le haut.

Edit AI instructions

Why Koncile

Tailor the extraction to your needs

Easily add or modify extraction fields in the Koncile parser interface using natural language.

Champ à extraire : référence produit.

Set up Koncile in just one day

Koncile is pre-trained and can be deployed in a single day for all your extraction use cases.

No need for training on large volumes of your data.

Vignette de vidéo extraction de document.

Connect Koncile to your tools

Capture data in a structured format such as JSON, XLSX, CSV, or others.

Connect your application via our API. Access the full documentation here.

Liste des formats de document.
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Try Koncile now

Create your extraction template, test it on a sample document, and scale effortlessly

An OCR Solution for Extracting Data from Treatment form

Automatically extract key information from medical claim forms

Including patient name, procedures performed, reimbursed amount, prescribing physician, Social Security number, and more.

From Medical Claim Forms to a Structured Database

Easily manage healthcare claims by transforming documents into structured, machine-readable data ready for integration with your internal systems.

Multi-Format Processing

Process and standardize claim form data from various formats, including images and PDFs. Whether scanned from paper or received as a digital file, Koncile OCR extracts the information effortlessly.

Claim Form Parsing via API

Build a complete database of medical claim forms, integrated into your application and accessible via API. This automation allows you to track care history and improve reimbursement workflows.

Automate Your OCR Workflow

Are the claim form details accurate? Are the procedures correctly described and reimbursed? Are the amounts valid? Are there inconsistencies in patient or physician data? Koncile’s intelligent OCR streamlines healthcare data management by automating verification and validation at scale.

The API to streamline your document management

status

string

Document status can be DONE, DUPLICATE, or IN PROGRESS

document_id

integer

Unique identifier assigned to each document

general_fields

objects

Fields that appear once per document. Returns in the format: {field_name: extracted_value}

line_fields

objects

Repeated fields extracted in bulk for each row or table. Returns in the format: {field_name: extracted_value}

Request

curl api.koncile.ai/tasks/{task_id}/ \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $API_KEY"
response = requests.get(f"{api_url}/tasks/{task_id}/",
headers={"accept": "application/json", "Authorization":{"Bearer{api_key}"})

Response

{
  "status": DONE,
  "document_id": ID,
  "General_fields":
    {
      "Date" : "05/08/20222",
      "Price" : "23$",
      "Supplier name" : "Koncile",
    },
  "Line_fields":
    {
      "Date" : ["05/08/2022", "05/09/2022", "03/02/2023"],
      "Price" : ["23$", "12$", "5$"],
    }
}

Security and privacy by design

No training on your data

Fully encrypted application

Secured data storage

GDPR compliant

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Any question?

Contact us at contact@koncile.ai, check out our documentation, or book a demo.

How does OCR extract information from a treatment form?

OCR analyzes the treatment form using computer vision algorithms to detect and read characters. With natural language understanding (NLP), OCR can identify critical information. This process ensures accurate extraction of structured and unstructured data from the document.

Can I extract specific information from a treatment form?

Yes, you can extract specific information from a treatment form, such as medical procedures, reimbursed amounts, codes, or practitioner information. OCR can be set up to extract this data based on the sections or formats you are dealing with.

Can OCR process a treatment form if it is printed or handwritten?

Yes, OCR is capable of processing printed or handwritten treatment form. If the document is handwritten, OCR uses advanced techniques to recognize handwritten characters and convert them into digital text, while ensuring the accuracy of the extracted data.

In what format should I upload a treatment form for OCR analysis?

You can upload your treatment form in PDF, PNG, or JPEG format. These formats are compatible with our OCR technology, allowing accurate extraction of the information contained in the document. Consult the documenting for more details on accepted formats and the upload process.

How does Koncile integrate with my existing tools and software?

Koncile is accessible via an API, with complete documentation available here. Additionally, you can import your documents directly into the application and download the extracted data in XLSX, XLS, CSV, or JSON formats for seamless integration into your workflows.

What are Koncile's prices?

Koncile offers 3 plans, including enterprise options for handling large volumes of data. You can check our pricing on the dedicated page in our documentation.

How is my data protected?

Data protection and security are Koncile's priorities. In line with our Security and Privacy Policy, all processing is carried out on ISO 27001-certified servers based in France. For Enterprise plans, deployment on a private cloud is available. Contact us to learn more.

What are general fields and repeated fields?

In each extraction template, you will find:

  • General fields: These are pieces of information that appear only once in each document (e.g., the invoice number or the invoice date).
  • Repeated fields: These are pieces of information that appear multiple times in a document, such as item descriptions or prices in each line of a quote. Use repeated fields for extracting tables and charts from your documents.