Medical prescription OCR & data capturing

Enhance the effectiveness of your organization with Optical Character Recognition (OCR) and data extraction. Process medical prescriptions safely and quickly with Klippa. Powered by machine learning.

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What we can do with medical prescriptions

Our machine learning technology can automate many medical prescription-related business processes via our APIs and SDKs.
Medical prescription scanning
Format conversion and scan quality improvement
Image to text and JSON with OCR
Data extraction
Classification of medical prescription and line items
(Cross) validating data
Workflow optimization

Medical prescription data extraction

An image speaks more than a thousand words. Below is an example of the three steps our OCR engine takes to automatically capture data from medical prescriptions.

Uploading to the medical prescription OCR API

The first step is providing a picture or a PDF file of a medical prescription to our API. This is typically done from a mobile app or a web application.

The document can be sent cropped or uncropped (with background). If the scan is sent uncropped, the Klippa API will automatically crop the document. The Klippa medical prescription scanning SDK can also be used in mobile apps. 

Medical prescription image to text using OCR

As soon as a picture or PDF is received, it is converted to a TXT file by our engine. In this step all the text from the document is extracted, but not yet structured.

Getting JSON output from the API

The Klippa Parser takes the TXT gained from the OCR in step 2 and converts it into structured JSON using machine learning. The JSON is then returned as output from the API. From here the medical prescription can easily be processed into your database. Whether you are processing medical prescription for ordering medicines, replenish stock or other use cases, Klippa is here to help.
Reduce cost
Spend less on processing medical prescriptions by using Klippa.
Improve speed
Process medical prescriptions automatically within seconds. Perfect for orders and more
Reduce errors
Prevent manual data entry errors with high quality data extraction on medical prescription.
Prevent fraud
Automatically recognize errors, duplicates and fraud.
What medical prescriptions fields are extracted?
Below the default extracted data fields (checkmarks) and automated checks (locks) are listed. These can be customized for each customer. Additional fields can be extracted on request.
Patient name
Patient age
Adress, zipcode, city and country
Name of the doctor
Company name
Line item descriptions, quantity and more
And many more fields
Classification services (custom)
Anonymization and pseudonymization services (custom)
Find duplicates via image hashing
Identify fraudulent documents via Photoshop detection
Let's talk over the phone!
We love to explain more about Klippa via a short phone call. If you want us to call you back, just choose a date and time that suits you best. If you leave the date and time empty we will call you within 30 minutes!
We are available for calls in English, Spanish, French, German and Dutch during office hours (CEST time zone). You can reach us at +31 50 2111631.

Frequently Asked Questions

What does medical prescription OCR cost?
The pricing structure for Klippa medical prescription capturing depends on the amount of fields and the document volume. Both pay per use and monthly licenses are available. Get in contact with our product specialists to get an exact quote.
What types of medical prescriptions are supported?
There are many different types of medical prescription in the world or even in one country. In general, we support all these types and forms. In case you wonder if we support a certain form or have any other question, feel free to contact us.

Did you know that apart from medical prescriptions, Klippa OCR can scan other types of medical documents, such as health insurance cards? Contact us for more information.
Can Klippa convert medical prescription to CSV, XLSX, XML or JSON?
Yes we can. Klippa can scan medical prescription, or their PDF equivalents, and converts them to readable text using OCR. From there we use machine learning (AI) to turn the text into structured data. Most of the time we use JSON for this, but depending on your preferences we can also convert medical prescription to CSV, XLSX or XML.
What kind of clients are using Klippa?
Klippa’s engine extracts as much data as possible from medical prescriptions via OCR and machine learning. We support many different types of clients, because our engine is so versatile. 

It is most commonly used by clients from insurances, hospitals, clinics and more.
What languages does Klippa support?
All European languages are supported. Our engine performs best in English, Dutch, Norwegian, Danish, Swedish, Finnish, Italian, Portuguese, English Spanish, German, Hebrew and French. Other languages can be supported on request, we’d just need to train our machine learning models.
Is Klippa medical prescription capturing GDPR-compliant?
All the services that Klippa offers are fully GDPR-compliant. By default, we use ISO-certified servers within the European Union for processing. If you are not located within the EU, we can also set up servers in a region of choice. 

Next to that, a data processor agreement is in place. We do not store any of your or your customers’ data after processing. 
Can Klippa provide classification for medical prescriptions?
Yes we can. Next to medical prescription scanning, OCR, blacklining, anonymization and pseudonymization, Klippa also provides classification on medical prescriptions and other documents. Classifications can for example be the country of origin, language, document quality, insurance type, document type, medicine type and many more. 
Can Klippa provide anonymization and pseudonymisation for medical prescriptions?
Yes we can. Next to doctors receipt scanning, OCR, classification and other machine learning services, Klippa provides options for blacklining, anonymization and pseudonymization on doctors receipts and other documents.
Please feel free to ask all your questions.
 Get in touch by email, phone or chat!
+31 50 2111631