🇴🇲 Made in Oman

Ambient Clinical Documentation System

Secure, local AI that listens to Arabic medical conversations and writes the clinical notes — so doctors can focus on patients.

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2-3h Daily documentation time
40-50% Time away from patients
15-20m Per SOAP note manually
0 Existing Arabic solutions
The Problem

Doctors Are Drowning in Paperwork

Clinicians across the Arab world spend excessive hours on manual documentation — typing notes, filling forms, writing referrals. This reduces face-to-face patient time and drives burnout.

Existing AI documentation tools are built for English, rely on cloud processing (a privacy nightmare for patient data), and don't understand Arabic medical terminology or Gulf dialects.

No Arabic Support Current systems fail on Arabic dialects and medical terms
Cloud Privacy Risks Patient data sent to foreign servers violates sovereignty
Time Drain 15-20 minutes per patient for manual SOAP notes
Our Solution

Medad: Documentation That
Happens Automatically

An AI system that sits in the room, listens to the doctor-patient conversation in Arabic, and generates complete clinical notes — all processed locally, never leaving the hospital.

01

100% Local Processing

All AI runs on hospital servers. Zero data leaves the building. Complete sovereignty over patient information.

02

Arabic-First Design

Fine-tuned for Gulf Arabic dialects and Omani medical terminology. Understands code-switching between Arabic and English.

03

Learns & Adapts

Doctors review and correct notes. The system learns from every edit, getting smarter with each use — personalized to each clinician.

See It In Action

1
Record Ambient listening during consultation
→
2
Process Locally On-premise AI transcription
→
3
Translate Arabic → structured English notes
→
4
Review & Learn Doctor corrects, AI improves
Arabic Input

المريض يشتكي من ألم حاد في الجهة اليسرى للصدر مع انتشار للكتف.

ضيق التنفس الجهدية ملاحظ بعد صعود الدرج.

SOAP Note Output

Patient complains of acute left-sided chest pain with radiation to the shoulder.

Exertional dyspnea noted after climbing stairs, requiring rest.

Where We Are

Project Roadmap

A 24-month journey to transform clinical documentation in Oman and beyond.

Phase 1

Setup & Data Collection

System installation, IRB approval, and initial data collection. Training 50-100 hours of Omani medical conversations.

Phase 2 — Current

Multi-User Platform

Collaborative web system with continuous self-training capabilities. Clinicians review outputs to fine-tune models monthly.

Phase 3

Expansion

Deploy to specialty clinics, ward rounds, and other hospitals. Testing hardware options from high-end GPUs to CPU-only servers.

Phase 4

Testing & Validation

Comprehensive accuracy testing, clinical validation, and usability assessment. Comparing AI vs manual SOAP notes.

Latest Updates

News & Progress

Follow our journey building the future of clinical documentation.

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Team February 2025

Medad Research Team Formed

A multidisciplinary team of 11 clinicians, researchers, and engineers from across Oman's top institutions has come together to build Medad.

Milestone January 2025

IRB Application Submitted

Ethical approval application submitted for clinical data collection across participating hospitals in Muscat.

Want to Be Part of This?

We're building a team of clinicians, engineers, and researchers to transform Arabic healthcare documentation.

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