Phase 1 — Application Concept¶
This phase defines the system purpose, scope, and intended user interaction model for the Sillah preventive health management system.
Application Purpose and Scope¶
Sillah (صلة) is a preventive family health management system designed to support Saudi families affected by hereditary health conditions, including cardiac and other inherited diseases.
The system enables users to:
- Record structured family health histories
- Generate automated hereditary risk warnings
- Schedule preventive clinic visits
The primary purpose of the application is to:
- Raise preventive health awareness
- Simplify structured family health management
- Support early hereditary risk detection through data analysis
The system manages the following domains using a relational database management system:
- User accounts and roles
- Family members and relationships
- Health events and medical histories
- Risk warnings and alert metadata
- Clinic information and appointments
- Educational awareness content
Scope Limitations¶
The following are explicitly outside the scope of this project:
- Integration with real hospital systems
- Real-time medical diagnoses
- Live data exchange with healthcare providers
- Clinical decision-making functionality
The system is designed strictly for educational and preventive purposes and does not provide medical diagnoses or treatment recommendations.
Target Users¶
-
Citizens / Families (Primary Users)
Record family medical histories, track hereditary conditions, and receive preventive alerts.
-
Healthcare Providers
View summarized preventive data when shared to support awareness and screening recommendations.
-
Administrators
Manage system content, clinic data, and overall system integrity.
Usage Scenarios¶
The following scenarios illustrate intended system interaction:
-
Scenario 1 — Risk Detection
A user inputs family medical history data.
If hereditary patterns are detected, the system generates preventive risk alerts. -
Scenario 2 — Condition Tracking
A user records a specific health condition and age of onset.
The system stores structured data to improve longitudinal tracking and analytical evaluation.
Phase 1 Outcome¶
By the end of Phase 1, the system concept establishes:
- Clear functional boundaries
- Defined target users
- Structured usage scenarios
- Explicit scope limitations
These foundations guide subsequent phases involving data modeling, relational schema design, normalization, and implementation.