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Development of Endometriosis Pain Management Mobile Application with Intuitive Symptom Tracking
  1. case
  2. Development of Endometriosis Pain Management Mobile Application with Intuitive Symptom Tracking

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Development of Endometriosis Pain Management Mobile Application with Intuitive Symptom Tracking

blurify.com
Health & Fitness
Medical
Information technology

Challenges in Chronic Pain Management for Endometriosis Patients

Current solutions lack intuitive mechanisms for precise pain localization tracking and fail to maintain consistent user engagement for longitudinal health data collection. Existing tools don't effectively integrate medical tracking with lifestyle factors analysis for endometriosis management.

About the Client

Finnish startup focused on women's health technology solutions, seeking to develop digital tools for chronic condition management

Key Project Goals

  • Create interactive body mapping interface for precise pain point documentation
  • Develop engaging UX/UI to ensure daily user participation
  • Implement comprehensive health data tracking system integrating multiple biometric factors
  • Establish secure data storage solution for medical diagnosis support
  • Visualize patient journey to optimize application interaction points

Core System Functionalities

  • Interactive 2D body map with pain intensity marking capability
  • Daily symptom/medication/hormone/activity tracking modules
  • Personal health data dashboard with visualization analytics
  • Secure cloud-based health data repository
  • Gamified engagement system for consistent usage motivation
  • Medical professional reporting interface

Technology Stack Requirements

Cross-platform mobile development framework (React Native/Flutter)
Medical-grade data encryption standards
Cloud-based backend architecture (AWS/Google Cloud)
Interactive SVG-based body mapping components
Health data interoperability standards (FHIR)

System Integration Needs

  • Electronic Health Record (EHR) systems
  • Wearable health device APIs (Fitbit/Apple Health)
  • Telemedicine platform interfaces
  • Medical imaging data converters

Non-Functional Requirements

  • HIPAA/GDPR compliance for health data protection
  • 99.9% system availability SLA
  • Sub-200ms response time for interactive features
  • Scalable architecture for 100k+ concurrent users
  • WCAG 2.1 accessibility compliance

Expected Business and Clinical Impact

Enables accurate longitudinal tracking of endometriosis symptoms through intuitive interface, improving diagnostic accuracy and treatment personalization. Expected to increase patient-clinician communication efficiency by 40% while reducing diagnostic delays through comprehensive data visualization. The solution positions the client as a leader in women's digital health solutions with potential for clinical partnership expansion.

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