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Chronic respiratory disease management

Connected device and technology platform for remote management of chronic respiratory disease through real-time metrics monitoring and management of lung function and blood oxygenation levels and access to air quality data. Push-pull of information with healthcare providers allows timely and remote medical intervention (e.g. change in medication).

Key benefits

Increased patient convenience
Increased patient convenience
through significant reduction in time and financial resources required to manage their condition. This results in increased patient empowerment and accountability through the understanding of their condition
Improved medical outcomes
Improved medical outcomes
through more accurate and timely interventions in response to the fluctuation of health indicators (e.g. administration of insulin)
Reduced hospitalizations
Reduced hospitalizations
and readmission rates, and optimized distribution of healthcare providers' time. Time spent with a patient is more targeted to their needs.

Related personas

User Journey

  • 1
    John suffers from asthma and experiences respiratory events from time to time He wants to manage his respiratory condition continuously and signs up for the chronic respiratory disease management
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  • 2
    John is now able to track the use of his medications through a connected inhaler for example  He also receives reminders to take his medication through the app
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  • 3
    John monitors his lung metrics (e.g.how open his lung airways are) and also his blood oxygenation levels thanks to his connected devices John records on the app any symptoms, triggers or environmental conditions 
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  • 4
    John and his physician have access to John’s health trends and can gather insights through an interactive dashboard
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  • 5
    John and his physician are able to track risk periods and he can adapt his treatment in real time
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Potential Service Features

  • Personalized advice
  • Automated notifications
  • Smart recommendations
  • Insurance company synchronization
  • Automated distress notification
  • Predictive analytics
  • Insurance company synchronization
  • Automated distress notification
  • Predictive analytics

Implementation Analysis

IMPLEMENTATION TIMELINE

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  • Short
  • Medium
  • Long

TECHNOLOGY COMMERCIAL VIABILITY

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  • Currently viable
  • Viable in Short Term
  • Viable in Long Term

REGULATORY CONDUCIVENESS

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  • Favourable
  • Challenging
  • Complex

INVESTMENT REQUIREMENTS

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  • Small
  • Medium
  • Large

Key Implementation Consideration

Relevant Tech Solutions