A research-built, KSA-native digital transformation engine for Jeddah's premier medical group. From Unifonic backbone to AI-powered patient intelligence — every provider selected, every API mapped, every sprint tracked.
What we are building and why it matters for Saudi healthcare
Transform Ragaban Clinics from a traditional multi-location medical group into a data-driven, AI-assisted healthcare platform that delivers measurable patient outcomes, operational efficiency, and revenue growth — fully compliant with NPHIES, PDPL, and Vision 2030 digital health mandates.
Every technology choice is born in Saudi context — not translated. NPHIES FHIR integration for insurance claims, SDAIA-certified AI for diagnostics, STC Cloud for data sovereignty, and Unifonic for patient communication. No Western defaults. No guessing.
Target: 40% reduction in no-show rates via AI-powered reminders. 60% faster insurance claim processing via NPHIES automation. 3x increase in patient satisfaction scores through unified digital experience.
Ragaban Clinics baseline — what exists, what's missing, what to fix
| System Layer | Current Tool | Status | Gap / Risk | Action |
|---|---|---|---|---|
| Communication | Unifonic (SMS) + WhatsApp Business | Active | No unified patient portal; manual appointment flows | Upgrade to Unifonic WhatsApp API + build patient app |
| ERP / Operations | Odoo (self-hosted) | Active | No NPHIES integration; no AI-assisted scheduling | Extend Odoo with NPHIES FHIR module + AI scheduler |
| Patient Records | Manual / Paper-based in some branches | Partial | No unified EHR; compliance risk with PDPL | Deploy OpenMRS or Bahmni (open-source EHR) |
| Insurance Claims | Manual submission to CHI / insurers | Manual | 4-6 week processing; high rejection rate | Integrate NPHIES FHIR $submit API |
| Analytics | Spreadsheets / Basic Odoo reports | Missing | No predictive analytics; no patient segmentation | Deploy Apache Superset + AI prediction models |
| AI / Diagnostics | None | Missing | Missed opportunity for early disease detection | Integrate SDAIA-certified AI for radiology + triage |
| Payments | Cash + POS terminal (mada) | Basic | No online payments; no appointment deposits | Integrate Geidea (mada/Visa/MC) + STC Pay |
| Website | Basic informational site | Static | No booking, no patient portal, no analytics | Rebuild as Next.js app with full integration |
Research-backed provider landscape — every choice validated for Saudi market
The national health information backbone. FHIR R4 APIs for insurance eligibility, claims submission, and patient summaries. Mandatory for all KSA healthcare providers by 2025.
Saudi-born communication platform. SMS + WhatsApp Business API with KSA-specific routing. Already in use at Ragaban. Best-in-region for healthcare appointment automation.
Tier-1 Saudi cloud provider with data residency guarantees. Classified infrastructure for healthcare workloads. NCA-compliant and PDPL-ready. Preferred over AWS/Azure for sensitive health data.
National AI certification and model repository. Pre-approved AI models for medical imaging, NLP, and predictive analytics. Ensures compliance with Saudi AI ethics framework.
KSA payment gateway supporting mada, Visa, Mastercard, Apple Pay. Developer-friendly APIs with Arabic checkout. SAMA-licensed. Lower fees than international gateways.
Live chat for patient support. Tawk.to is free and supports Arabic RTL. Intercom offers AI-powered chatbots with better automation. Choose based on budget vs. AI needs.
4-layer KSA-native architecture — every component has a Saudi provider
Every integration documented — what to sign up for, what API key you get, where to put it
| Provider | Purpose | Cost | API Key Source | Setup Time | Status |
|---|---|---|---|---|---|
| Unifonic | SMS + WhatsApp notifications | ~SAR 0.04-0.15/SMS | unifonic.com dashboard | 1-2 days | Ready |
| NPHIES (CHI) | Insurance claims + eligibility | Government (free) | CHI Nphies Portal | 2-4 weeks | Apply |
| Geidea | Online payments (mada/Visa/MC) | 2.5-3.5% per tx | geidea.net merchant portal | 3-5 days | Apply |
| STC Cloud | Hosting + data residency | ~SAR 500-2000/mo | stc.com.sa/cloud IAM | 1-2 days | Apply |
| Tawk.to | Live chat + chatbot | Free (or $19/mo) | tawk.to property settings | 30 min | Ready |
| OpenMRS | Open-source EHR | Free (self-hosted) | openmrs.org → download | 2-3 days setup | Ready |
| Apache Superset | Analytics dashboard | Free (open source) | superset.apache.org | 1 day | Ready |
| SDAIA AI | AI models + certification | Usage-based | sdai.gov.sa developer portal | 2-4 weeks | Research |
16-week phased delivery — each phase has defined outputs and success metrics
Deploy STC Cloud infrastructure. Set up OpenMRS EHR across all 4 locations. Integrate Unifonic WhatsApp API for appointment booking. Connect Odoo to OpenMRS.
Integrate NPHIES FHIR APIs for insurance claims. Deploy AI no-show prediction model. Build Apache Superset analytics dashboard. Add Geidea payment gateway.
Launch Next.js patient portal (Arabic RTL). Deploy mobile app for iOS/Android. Add AI chatbot for triage. Integrate Tawk.to live chat with agent handoff.
Integrate SDAIA AI Marketplace models for medical imaging. Deploy predictive analytics for inventory and staffing. Add AI-driven marketing automation.
Command center for active development — what's in progress, what's blocked, what's next
Conservative estimates based on KSA healthcare benchmarks and similar clinic transformations