SymptomChecker
Patient Symptom Checker
A patient symptom checker web app is a digital health tool designed to help users evaluate their symptoms and get preliminary health guidance. It doesn't diagnose conditions but provides insights based on input data. Here's a breakdown of its key components and functionality:
Core Features
Symptom Input Interface
Users enter symptoms via:
Text box (free-text or autocomplete)
Symptom selection (checkboxes or buttons)
Body map for localized symptoms
Guided Questionnaire
Dynamic questions based on symptoms (e.g., “How long have you had a fever?”)
Collects additional context (age, sex, medical history)
Symptom Analysis Engine
Uses decision trees, AI/ML models, or rule-based logic
Matches symptoms to potential conditions
Considers severity and urgency
Results & Recommendations
Lists possible conditions (with likelihood/confidence scores)
Suggests next steps (e.g., self-care, visit GP, urgent care)
Offers educational content about potential conditions
User Profile & History
Stores symptom checks
Allows monitoring over time
Disclaimers & Safety Netting
Clearly states it’s not a diagnosis tool
Promotes emergency services for severe symptoms (e.g., chest pain, shortness of breath)
Technical Stack
Frontend: React/Vue/Angular, HTML/CSS, Tailwind or Bootstrap
Backend: Node.js, Python (Django/Flask), or serverless architecture
AI/Logic Engine: Custom ML models, OpenAI APIs, or rule-based inference engines
Data Sources: Medical databases like ICD-10, Mayo Clinic, NHS, etc.
Compliance: HIPAA, GDPR (if storing health data)
Common Use Cases
Patients unsure whether to see a doctor
Remote triage support for clinics
Integrations with telehealth services
Pre-visit patient intake