Reports in every format
Scans, PDFs and phone photos with different layouts. OCR brings them into one readable structure.
HealthEye · Jeddah & across KSA
HealthEye: medical reports, explained clearly.
An AI-supported platform that reads medical reports in different formats, picks out the key information and presents health insights in a clear review interface.
Overview
From a stack of reports to a clear summary.
Health information rarely arrives in one tidy format. HealthEye uses OCR to read scans and photos, applies AI analysis to identify what matters and lays it out so it can be reviewed quickly and consistently.
It is designed to support understanding and review. Medical decisions always stay with qualified professionals.
Who it helps
- People reviewing their own lab results
- Clinics handling reports in mixed formats
- Health-tech teams building on AI
- Wellness and screening programmes
The business case
Problems HealthEye is designed to ease
Key values buried in pages
Important results are hard to spot. AI analysis highlights what deserves attention.
Inconsistent review
Different people read reports differently. A consistent layout supports a consistent review.
Patients confused by their own results
Medical language is hard to follow. Clear summaries help people prepare questions for their doctor.
Who it’s for
Who HealthEye is for
Health-tech companies
Teams adding report understanding to their own products.
Clinics and practices
Front-line teams receiving reports from many sources.
Wellness programmes
Organisations helping members understand screening results.
Individuals
People who want a clearer view of their own reports.
Features
What HealthEye does
Report capture and OCR
Read reports however they arrive.
- Upload of scans, photos and PDFs
- Text and value extraction
- Handling of different report layouts
AI-supported analysis
Find what matters in the report.
- Gemini-based analysis
- Highlights of key findings
- Plain-language explanations
Clear review interface
Results laid out for quick review.
- Structured summary views
- Original report alongside extracted data
- Consistent layout across report types
Platform foundations
A modern, maintainable stack.
- React and Vite front end
- Node.js and Python (Flask) services
- Role-based access
Exploring AI for health information? Start with a conversation.
Talk to our health-tech team
In practice · HealthEye
Reports arrive in every format imaginable.
Health reports can be difficult to review quickly and consistently when information arrives as scans, PDFs and photos in different layouts.
We created an AI-supported experience for report analysis and health insights, combining OCR document processing, Gemini-based analysis and a review interface designed to be read at a glance.
- React
- Vite
- Node.js
- Python
- Flask
- Gemini
- OCR
How deployment works
How a HealthEye project runs
Define the use case
Who reviews the reports, which types matter and what should be seen first.
Configure analysis
Report types, extraction rules and AI prompts, reviewed with your clinical advisers.
Integrate
Upload flows, user access and connections to existing systems.
Review and improve
Check outputs with your team and refine before wider rollout.
Platform and AI stack
- React
- Vite
- Node.js
- Python
- Flask
- Gemini
- OCR
Why ArrowTech
Why ArrowTech for health AI
Responsible by design
HealthEye supports review and understanding; it is not positioned as a diagnostic tool.
Experience with health products
We have built AI voice screening, patient ID printing and health insight tools.
Engineering you can extend
A documented React, Node.js and Python stack your team can build on.
Relevant work
Health and AI projects in our portfolio.
AI screening, report analysis and patient identification work.
AI & health tech
HealthEye
AI-supported health insights and medical report analysis.
- React
- Vite
- Node.js
- Python
AI & automation
Real-Time Voice Analyzer
AI-powered respiratory health screening through voice biomarkers.
- Voice AI
- Real-time processing
- Web application
Healthcare
Hospital Wristband Manager
Offline-first patient ID printing for hospital wristband printers.
- Flutter
- Dart
- Firebase
- HIS integration
Client feedback
Clients on our engineering and AI work.
FAQ
HealthEye questions.
Ask about accuracy, data handling or integration and we’ll answer openly.
Ask about HealthEyeDoes HealthEye diagnose conditions?
No. HealthEye supports reading and reviewing reports. Diagnosis and treatment decisions remain with qualified healthcare professionals.
Which report formats can it read?
Scanned documents, photos and PDFs. Accuracy depends on image quality, which we assess with sample reports during set-up.
Which AI model does it use?
HealthEye uses Gemini-based analysis together with OCR. We review model choice and configuration with you for your use case.
How is patient data handled?
We work with your compliance team on consent, access, storage location and retention, and configure the platform to your policies.
Can it be added to our own app?
Yes. HealthEye’s services can be integrated into an existing product through APIs.
Contact ArrowTech
Let’s talk about clearer health information.
Tell us who needs to understand the reports and what they need to see. We’ll explain how HealthEye could fit, and where its limits are.
Head office in Jeddah. Working with teams across Saudi Arabia and the GCC.
41503 - Palestine Commercial CenterJeddah, Saudi Arabia(+966) 12-617-7177info@arrowtech.sa