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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

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

through more accurate and timely interventions in response to the fluctuation of health indicators (e.g. administration of insulin)

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

Logistics
John
Company Owner at Logistic Company
John

Age

55

Status

Country

🇶🇦

About John

John has 20 years of experience in logistics. Before establishing his own business, he worked as a director in one of the sector’s leading companies. It is his fifth year in Qatar. His biggest ambition is to bring the best practices to his company and lead by adopting the latest technology trends. John has very little time to exercise or take care of his health. He is obese and has developed type 2 diabetes over the years.

Income Level
90%
Tech Knowledge
80%

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
2
3
4
5

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

ShortMediumLong

TECHNOLOGY COMMERCIAL VIABILITY

Currently viableViable in Short TermViable in Long Term

REGULATORY CONDUCIVENESS

FavourableChallengingComplex

INVESTMENT REQUIREMENTS

SmallMediumLarge

Key Implementation Considerations

1

High competence in UI/UX, data integrations and integrations with IoT and wearable devices.

2

Research phase to identify existing APIs that can be built on, entities with useful data and enablers for use case development, and a concept design phase to develop a comprehensive PoC

3

To be developed and scaled across all society age groups and social groups with the aid of targeted marketing

4

UX/UI and medical score testing through focus groups to ensure rapid adoption and precise medical results.

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