Medical Record Summarizer (OCR + LLM)
Convert Medical Reports and Lab Results into Actionable Insights
Automatically extract key details, metrics, and observations from patient medical records and lab PDFs using Kriatix’s OCR + LLM-powered Medical Record Summarizer.
See Medical Record Summarizer In Action
The Medical Record Summarizer by Kriatix streamlines healthcare data management by converting lengthy, complex reports into clear, structured summaries.It reads and processes scanned documents, lab results, prescriptions, and diagnostic PDFs to produce concise summaries for doctors, patients, and insurers.
This improves accuracy, saves review time, and simplifies claim processing for healthcare providers and insurance firms alike.
🔹 Extract key metrics and diagnoses from reports automatically
🔹 Generate summaries using LLM-based medical interpretation
🔹 Simplify record review for doctors, patients, and insurers
What Is the Medical Record Summarizer (OCR + LLM)?
The Medical Record Summarizer combines Optical Character Recognition (OCR) and Large Language Model (LLM) intelligence to interpret medical reports. It identifies important entities such as test results, physician notes, diagnosis codes, and risk indicatorsand summarizes them in natural language.
This allows nonclinical users to understand complex documents while assisting doctors and insurance processors in quicker evaluations.
Who Is It For?
| Role | How They Benefit |
|---|---|
| Hospitals & Clinics | Accelerate report review and patient consultations |
| Doctors/Specialists | Focus on insights rather than data entry |
| Insurance Teams | Simplify claim validation using structured reports |
| Patients | Understand lab and medical report summaries easily |
| HealthTech Platforms | Automate data extraction for health analytics |
Key Features
- OCR engine for scanned or image-based documents
- LLM-based interpretation of lab and diagnostic terms
- Auto-tagging of key parameters (BP, sugar, cholesterol, etc.)
- Multi-format report support (PDF, image, EHR export)
- AI-generated summary for clinicians or insurers
- Secure data anonymization and encryption
Benefits
- Reduce manual document reading time
- Improve clinical decision-making speed
- Increase transparency in patient communication
- Automate health insurance claim documentation
- Ensure HIPAA and GDPR-compliant processing
How It Works
- Upload or connect to medical report repositories.
- AI scans, extracts, and interprets relevant information.
- Summaries are generated and tagged by patient or claim ID.
- Export data to EHR, insurer, or patient portal.
Add-ons & Integrations
- EHR Platforms: Epic, Cerner, Meditech, Practo
- Insurance APIs: PolicyBazaar, Niva Bupa, MediAssist
- Analytics Tools: Tableau, Power BI, Zoho Analytics
Deployment & Access
-
- Cloud-based or on-premise
- Multi-role access for doctors, admins, and insurance processors
- Encrypted storage and anonymization features
What Our Partners Are Saying
Frequently Asked Questions
Can it read scanned or handwritten reports?
Yes. It uses OCR and AI handwriting recognition to extract data from scanned or image files.
2. Is the output medically accurate?
Yes. The AI is trained on verified medical data sources and reviewed for compliance accuracy.
3. Can it summarize multiple reports per patient?
Yes. It can combine and summarize multiple PDFs under a single patient record.
4. Is it suitable for insurance use?
Absolutely. It’s widely used for claim verification and underwriting
5. Is the data securely processed?
Yes. All data is encrypted, anonymized, and stored under HIPAA-compliant standards.
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