Saudi Ministry of Health – Smart Healthcare Platform (Vision 2030)
Build a professional full-stack healthcare platform called "Sehati AI" for the Saudi Ministry of Health (MOH). This platform should combine healthcare services, artificial intelligence, predictive analytics, telemedicine, and healthcare system optimization into one unified ecosystem.
The application should support Patients, Doctors, Hospital Administrators, and Ministry Officials.
Objective
Create a next-generation healthcare platform aligned with Saudi Vision 2030 that improves healthcare access, predicts health risks, optimizes hospital operations, and provides AI-powered healthcare assistance.
User Roles
Patient
Doctor
Hospital Administrator
Ministry of Health Administrator
Patient Features
Smart Health Dashboard
Personal profile
Medical history
Chronic diseases
Allergies
Vaccination records
Family medical history
Lab results
Radiology reports
Current medications
Appointment Management
Book appointments
Cancel appointments
Reschedule appointments
Track appointment status
View doctor availability
Telemedicine
Video consultations
Secure messaging with doctors
Share files and reports
Prescription Management
E-prescriptions
Medication reminders
Refill requests
Emergency Services
Emergency SOS button
Share location with nearest hospital
Send critical medical information to emergency responders
AI Features
AI Symptom Checker
Patient enters symptoms.
AI should:
Analyze symptoms
Estimate urgency level
Recommend medical specialty
Suggest whether to:
Visit ER
Visit clinic
Schedule telemedicine
Use self-care
Display confidence scores and explanations.
AI Health Assistant Chatbot
Healthcare chatbot capable of:
Answering common health questions
Explaining medications
Explaining test results
Health education
Preventive care recommendations
Support:
Arabic
English
Predictive Health Analytics
Using patient history, AI predicts:
Diabetes Risk
Heart Disease Risk
Hypertension Risk
Obesity Risk
Display:
Risk score
Risk category
Personalized recommendations
Trend charts
AI Medication Safety System
Check:
Drug interactions
Allergy conflicts
Duplicate medications
Generate warnings for doctors and patients.
AI Radiology Assistant
Allow upload of:
X-ray images
CT scans
MRI scans
AI generates:
Preliminary findings
Highlighted suspicious regions
Confidence scores
Include disclaimer:
"AI suggestions are not a final diagnosis."
Doctor Portal
Doctor Dashboard
Show:
Today's patients
Upcoming appointments
Patient history
Notifications
Patient Record Management
Doctors can:
View records
Add diagnoses
Add treatment plans
Upload reports
Create prescriptions
AI Clinical Assistant
During consultations AI can:
Generate visit notes
Summarize patient history
Suggest possible diagnoses
Recommend tests
Smart Referral System
Automatically recommend:
Best hospital
Available specialists
Shortest waiting times
Closest facilities
Use:
Patient location
Doctor availability
Hospital capacity
Wearable Integration
Connect to:
Apple Watch
Fitbit
Smart blood pressure monitors
Glucose monitors
Display:
Heart rate
Blood sugar
Blood pressure
Activity levels
Sleep quality
Generate alerts for abnormal readings.
Hospital Administration Portal
Hospital Dashboard
Track:
Number of patients
Appointments
Bed occupancy
Emergency room load
Doctor availability
Predictive Analytics
Predict:
Patient demand
Bed shortages
Staff requirements
Emergency room congestion
Ministry of Health Dashboard
Create a national healthcare analytics dashboard.
Display:
Healthcare Statistics
Total patients
Hospital utilization
Regional healthcare demand
Disease trends
Disease Monitoring
Heat maps
Outbreak detection
Population health insights
Resource Optimization
Ambulance allocation
Hospital capacity
Staff deployment
Healthcare Digital Twin (Flagship Feature)
Create a digital twin simulation of Saudi Arabia's healthcare system.
The simulation should model:
Hospitals
Clinics
Ambulances
Patients
Medical resources
Allow users to simulate:
Pandemic outbreaks
Population growth
Hospital overcrowding
Resource shortages
Display:
Interactive map
Real-time charts
System performance indicators
Use AI predictions to suggest improvements.
Technical Requirements
Frontend:
React
TypeScript
Tailwind CSS
Responsive design
Backend:
Node.js
Express.js
Database:
PostgreSQL
Authentication:
JWT
Role-based access control
Languages:
Arabic
English
Theme:
Saudi Ministry of Health inspired
Green and white professional design
Dark mode
Light mode
Analytics & Visualization
Include:
Interactive dashboards
Charts
Maps
Health trends
Risk scores
AI prediction visualizations
Use:
Chart.js
Recharts
Sample Data
Generate:
100 patients
25 doctors
10 hospitals
Appointments
Medical records
Prescriptions
Wearable health data
Deliverables
Create a fully functional prototype with:
Complete frontend
Complete backend
Database schema
API routes
Authentication
AI modules (simulated if necessary)
Healthcare Digital Twin Dashboard
Professional UI suitable for an AI Engineering capstone project and Saudi Vision 2030 healthcare transformation presentation.
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