Development of a User-Centric Mobile Mask Fitting and Sleep Data Monitoring Application

Medical

Identifying the Need for an Advanced Mobile Solution in Sleep and Oxygen Therapy Equipment

The client faces challenges with an outdated mobile application that lacks modern UI/UX and comprehensive device-support features, limiting user engagement and accurate mask fitting, which in turn affects product sales and treatment adherence.

About the Client

A mid-sized manufacturer and distributor of sleep therapy and oxygen therapy medical devices looking to enhance user engagement and device efficacy through digital solutions.

Goals for Developing an Innovative Mask Fitting and Sleep Data Tracking Mobile App

Create a modern, intuitive mobile application facilitating precise mask fitting through advanced 3D face scanning and graphics.
Enable users to select appropriate mask types and sizes based on personalized questionnaires and facial analytics.
Implement comprehensive sleep and device usage reporting, including multiple health indices such as usage time, apnea-hypopnea index (AHI), and pressure levels.
Incorporate visual data visualization features like graphs for better understanding of sleep patterns and device effectiveness.
Allow users to download, share, and archive reports with healthcare providers or relevant stakeholders.
Ensure the application improves user engagement, increases device adherence, and supports sales growth.

Key Functional Capabilities for the Mask Fitting and Sleep Monitoring Application

3D face scanning module to assess facial structure for mask fitting.
Mask selection interface offering three types of masks, tailored through facial analysis and questionnaire responses.
Personalized questionnaire to gather user-specific data influencing mask and therapy recommendations.
Comprehensive reporting dashboard displaying usage metrics, AHI, pressure levels, and other relevant health indicators.
Graphical visualization of sleep data for easy interpretation.
Download and sharing options for reports to facilitate collaboration with healthcare providers.
User account management for personalized experience and data security.

Technology Stack Preferences for Developing the Mobile Application

Cross-platform mobile development framework (e.g., Xamarin or equivalent) for Android and iOS compatibility.

3D graphics and facial analysis libraries for face scanning and mask fitting functionalities.

Secure cloud-based data storage for report management and user data protection.

Data visualization tools/libraries for displaying sleep and device usage metrics.

External System Integrations Necessary for Full Functionality

Device data synchronization interfaces to collect real-time usage and performance data from medical devices.
Healthcare data sharing platforms or electronic health record (EHR) systems for report sharing and professional collaboration.
Analytics services to track app usage and gather insights for continuous improvement.

Non-Functional Requirements Ensuring System Reliability and Performance

Scalability to support increasing user base without performance degradation.
High responsiveness with app load times under 2 seconds.
Data security and compliance with healthcare data protection standards (e.g., HIPAA).
Regular update capability for features and security patches.

Anticipated Business Benefits and Outcomes of the Mobile Application Enhancement

This new mobile application aims to boost user engagement by providing intuitive mask fitting and sleep monitoring tools, leading to improved treatment adherence. It is expected to streamline reporting and sharing processes, ultimately facilitating increased device sales and customer satisfaction. The app's advanced functionalities and user-friendly interface are projected to result in higher usage rates and better health outcomes, supporting market differentiation and growth.