OCR for Medical Documents
Automate data extraction from patient registration forms, insurance cards, medical prescriptions, and other medical documents with Klippa’s AI-powered OCR.
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Benefit From Automatic Medical Document Processing with Klippa
Klippa does not stop at data extraction. We also classify the documents with AI, anonymize sensitive data for compliance, and verify the extracted data via third-party databases.
Reduce costs & turnaround time
Klippa’s AI-powered OCR software can process medical documents in seconds. Reduce overhead and operational costs and save time with automated document workflows.
Prevent fraud & enhance compliance
Klippa’s intelligent document verification prevents document fraud. Automated data anonymization ensures GDPR compliance, safeguarding sensitive medical data.
Enjoy easy integration via API & SDK
You can implement our APIs and SDKs into any software or application you’re currently using. All of our solutions are well-documented and created in a developer-friendly way. In general, the implementation of our solution can be done within a day.
We Support a Wide Range of Medical Documents
With our solutions, you can automatically extract and validate data from 10+ medical document types. Do you have a special request? Don’t hesitate to contact our team.
Data Fields On Medical Documents You Can Extract
With Klippa, you can extract and verify over 150+ data fields. See some of the examples below:
Patient Information
- Full Name
- Date of Birth
- Gender
- Contact Information (Phone, Email)
- Address
- Insurance Information (Provider, Policy Number)
- Emergency Contact Information
Medical Information
- Medical Record Number (MRN)
- Diagnosis
- Prescription Details (Medication, Dosage, Frequency)
- Lab Test Results
- Doctor’s Notes
- Treatment Plan
- Allergies
- Immunization Records
- Surgical History
- Vitals (Blood Pressure, Heart Rate, etc.)
How it works
Process Medical Documents in Just a Few Steps
Instantly capture and convert your medical documents into any structured format for easier integration. Always get the best results with automatic edge detection for more accurate processing.
Send Your Medical Documents
Scan your documents with our mobile scanning SDK or upload them to our platform in any of these formats:
.jpg
, .jpeg
, .png
, .pdf
, .doc
, .docx
, .xlsx
, .heic
, .webp
, and more.Extract Data
Choose which data fields you want to extract, such as patient name, medical record number, or insurance information to name a few.
Receive Structured Output
Thanks to machine learning, you can have your data in a structured format like JSON, XML, or CSV.
Forward Your Data
After transforming your data into a structured format, you can then forward it to your software of choice for further processing.
Automate More Than Just Data Extraction
Document Cross Checks
Cross-Referencing with Databases
Use Cases of OCR for Medical Documents
Medical documents are everywhere. It can be very time-consuming to process these documents manually, especially in larger quantities. Luckily, automated data extraction on medical documents is possible with OCR.
Patient Intake
OCR scans IDs and insurance cards to automatically input patient information, minimizing manual entry, reducing wait times, and ensuring accurate data in health systems.
Medical Record Management
Converts paper-based medical records into searchable digital formats, simplifying retrieval and enhancing compliance with healthcare data retention and confidentiality regulations.
Prescription Processing
Digitizes handwritten prescriptions, allowing pharmacies to minimize manual errors, verify accuracy, and ensure timely dispensing of medications.
Insurance Claims
Automates data extraction from claim forms, expediting processing, reducing human error, and accelerating reimbursement for patients and healthcare providers.
Invoice Management
OCR processes invoices from suppliers, ensuring accurate billing, reducing manual entry, and helping healthcare facilities manage payment cycles more efficiently.
Lab Results Entry
Converts lab results into digital entries for integration with electronic health records, improving accessibility for physicians and supporting faster patient diagnosis.
Medical Research
Digitizes vast archives of research documents and clinical studies, making them searchable, and accessible, and enabling more efficient data analysis for medical research teams.
Patient Consent Forms
Captures and stores digitally signed consent forms, ensuring secure record-keeping, reducing paperwork, and enhancing compliance with legal requirements.
We Take Your Data Privacy & Security Seriously
Let’s Start!
Discover the power of Klippa’s OCR for medical documents. Let our experts show you how you can automate document processing.