Virtual Specialized Nutrition Consultation
Budget: $750 – $1,500 USD
Software Requirements Specification (SRS)
Project Name
Virtual Medical Nutrition Clinic
---
1. System Overview
1.1 Purpose
The system enables a licensed physician to run a fully virtual nutrition clinic offering:
Online consultations
Medical nutrition therapy
AI-assisted patient monitoring
WhatsApp-based follow-up
Digital patient records
No mobile application is required. The system is web + WhatsApp + video-based
1.2 Scope
The system includes:
Patient onboarding
Online booking & payments
AI pre-consultation assessment
Video consultation workflow
Electronic medical records (EMR)
Nutrition plan generation & delivery
WhatsApp-based follow-up automation
Admin dashboard for doctor operations
---
1.3 Users
Primary Users
Patients (general + chronic disease patients)
Physician
System Users
Admin (can be same physician)
AI assistant (support role only)
---
2. Functional Requirements
---
2.1 Patient Web Portal
2.1.1 Registration & Login
Mobile number login (OTP)
Email optional
Profile creation
2.1.2 Patient Profile
System must store:
Name
Age / Gender
Height / Weight
Medical history
Current medications
Allergies
Lifestyle data
---
2.2 AI Pre-Consultation Module
2.2.1 Intake Form
Patient submits:
Chief complaint
Goal (weight loss, diabetes control, etc.)
Food habits
Activity level
2.2.2 AI Processing
System generates:
BMI calculation
Risk summary
Suggested focus areas
Pre-consultation report for physician
AI does NOT diagnose or prescribe.
---
2.3 Appointment Management System
Features:
Calendar-based booking
Available slots management
Payment before confirmation
Rescheduling & cancellation
Integration:
Video call link auto-generation:
Zoom / Google Meet
---
2.4 Teleconsultation Module
Video consultation session
Physician notes entry
Prescription-style diet plan creation
Session summary auto-generation
---
2.5 Electronic Medical Record (EMR)
Each patient profile must include:
Consultation history
Weight trend
Uploaded lab results
Diet plans
Notes from physician
Follow-up logs
---
2.6 Nutrition Plan System
Output formats:
PDF diet plan
WhatsApp summary
Meal schedule
Features:
Meal plans by condition:
Obesity
Diabetes
PCOS
Hypertension
Food substitutions (Egyptian diet context)
Weekly targets
---
2.7 WhatsApp Follow-up System
Patient Functions:
Send weight updates
Send meal photos
Ask nutrition questions
Request follow-up
System Functions:
Automated reminders:
Water intake
Meals
Weight tracking
AI response for basic queries
Escalation to physician when needed
---
2.8 AI Nutrition Assistant (Core Engine)
Capabilities:
Meal text analysis
Food image estimation (optional phase 2)
Daily coaching messages
Adherence scoring
Progress tracking insights
Strict Rules:
No medical diagnosis
No medication recommendation
Always escalate red-flag symptoms
---
2.9 Payment System
Features:
Online payment before booking confirmation
Invoice generation
Subscription support (monthly plans)
Integrations:
Paymob / Fawry (Egypt)
---
2.10 Admin / Physician Dashboard
Overview:
Daily appointments
Active patients
Revenue tracking
Pending follow-ups
Patient Management:
View full EMR
Upload/edit diet plans
Add consultation notes
Track progress
---
3. Non-Functional Requirements
---
3.1 Security
End-to-end encrypted communication where possible
Role-based access control
Secure authentication (OTP)
Data privacy compliance
---
3.2 Performance
Page load < 3 seconds
WhatsApp response < 5 seconds (AI fallback allowed)
---
3.3 Availability
99% uptime target
Backup daily database
---
3.4 Scalability
System must support:
1,000+ active patients initially
Expandable to 10,000+ without redesign
---
4. Technical Architecture
---
4.1 Frontend
Next.js (Web platform)
4.2 Backend
Node.js / Laravel
4.3 Database
PostgreSQL
4.4 AI Layer
OpenAI API (nutrition assistant + summarization)
4.5 Communication
WhatsApp Business API
Email (optional)
4.6 Video Calls
Zoom SDK / Google Meet
4.7 Hosting
AWS / DigitalOcean
---
5. AI Safety & Clinical Governance
---
5.1 AI Limitations
AI must:
NOT diagnose diseases
NOT prescribe drugs
NOT replace physician decisions
---
5.2 Red Flag Escalation
System must escalate to doctor if:
Chest pain
Severe hypoglycemia symptoms
Pregnancy complications
Sudden weight loss warning signs
Emergency symptoms
---
5.3 Human-in-the-loop
All:
Diet plans
Medical decisions
Final recommendations
must be approved by physician.
---
6. MVP Definition (First Release)
Must Have
Website
Booking system
Payment integration
Video consultation
EMR system
Diet plan generator
WhatsApp follow-up
Basic AI assistant
Not Included (Phase 2)
Mobile app
Advanced image recognition
Wearables integration
Multi-doctor marketplace
Project Name
Virtual Medical Nutrition Clinic
---
1. System Overview
1.1 Purpose
The system enables a licensed physician to run a fully virtual nutrition clinic offering:
Online consultations
Medical nutrition therapy
AI-assisted patient monitoring
WhatsApp-based follow-up
Digital patient records
No mobile application is required. The system is web + WhatsApp + video-based
1.2 Scope
The system includes:
Patient onboarding
Online booking & payments
AI pre-consultation assessment
Video consultation workflow
Electronic medical records (EMR)
Nutrition plan generation & delivery
WhatsApp-based follow-up automation
Admin dashboard for doctor operations
---
1.3 Users
Primary Users
Patients (general + chronic disease patients)
Physician
System Users
Admin (can be same physician)
AI assistant (support role only)
---
2. Functional Requirements
---
2.1 Patient Web Portal
2.1.1 Registration & Login
Mobile number login (OTP)
Email optional
Profile creation
2.1.2 Patient Profile
System must store:
Name
Age / Gender
Height / Weight
Medical history
Current medications
Allergies
Lifestyle data
---
2.2 AI Pre-Consultation Module
2.2.1 Intake Form
Patient submits:
Chief complaint
Goal (weight loss, diabetes control, etc.)
Food habits
Activity level
2.2.2 AI Processing
System generates:
BMI calculation
Risk summary
Suggested focus areas
Pre-consultation report for physician
AI does NOT diagnose or prescribe.
---
2.3 Appointment Management System
Features:
Calendar-based booking
Available slots management
Payment before confirmation
Rescheduling & cancellation
Integration:
Video call link auto-generation:
Zoom / Google Meet
---
2.4 Teleconsultation Module
Video consultation session
Physician notes entry
Prescription-style diet plan creation
Session summary auto-generation
---
2.5 Electronic Medical Record (EMR)
Each patient profile must include:
Consultation history
Weight trend
Uploaded lab results
Diet plans
Notes from physician
Follow-up logs
---
2.6 Nutrition Plan System
Output formats:
PDF diet plan
WhatsApp summary
Meal schedule
Features:
Meal plans by condition:
Obesity
Diabetes
PCOS
Hypertension
Food substitutions (Egyptian diet context)
Weekly targets
---
2.7 WhatsApp Follow-up System
Patient Functions:
Send weight updates
Send meal photos
Ask nutrition questions
Request follow-up
System Functions:
Automated reminders:
Water intake
Meals
Weight tracking
AI response for basic queries
Escalation to physician when needed
---
2.8 AI Nutrition Assistant (Core Engine)
Capabilities:
Meal text analysis
Food image estimation (optional phase 2)
Daily coaching messages
Adherence scoring
Progress tracking insights
Strict Rules:
No medical diagnosis
No medication recommendation
Always escalate red-flag symptoms
---
2.9 Payment System
Features:
Online payment before booking confirmation
Invoice generation
Subscription support (monthly plans)
Integrations:
Paymob / Fawry (Egypt)
---
2.10 Admin / Physician Dashboard
Overview:
Daily appointments
Active patients
Revenue tracking
Pending follow-ups
Patient Management:
View full EMR
Upload/edit diet plans
Add consultation notes
Track progress
---
3. Non-Functional Requirements
---
3.1 Security
End-to-end encrypted communication where possible
Role-based access control
Secure authentication (OTP)
Data privacy compliance
---
3.2 Performance
Page load < 3 seconds
WhatsApp response < 5 seconds (AI fallback allowed)
---
3.3 Availability
99% uptime target
Backup daily database
---
3.4 Scalability
System must support:
1,000+ active patients initially
Expandable to 10,000+ without redesign
---
4. Technical Architecture
---
4.1 Frontend
Next.js (Web platform)
4.2 Backend
Node.js / Laravel
4.3 Database
PostgreSQL
4.4 AI Layer
OpenAI API (nutrition assistant + summarization)
4.5 Communication
WhatsApp Business API
Email (optional)
4.6 Video Calls
Zoom SDK / Google Meet
4.7 Hosting
AWS / DigitalOcean
---
5. AI Safety & Clinical Governance
---
5.1 AI Limitations
AI must:
NOT diagnose diseases
NOT prescribe drugs
NOT replace physician decisions
---
5.2 Red Flag Escalation
System must escalate to doctor if:
Chest pain
Severe hypoglycemia symptoms
Pregnancy complications
Sudden weight loss warning signs
Emergency symptoms
---
5.3 Human-in-the-loop
All:
Diet plans
Medical decisions
Final recommendations
must be approved by physician.
---
6. MVP Definition (First Release)
Must Have
Website
Booking system
Payment integration
Video consultation
EMR system
Diet plan generator
WhatsApp follow-up
Basic AI assistant
Not Included (Phase 2)
Mobile app
Advanced image recognition
Wearables integration
Multi-doctor marketplace