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MySTORI Mobile Health Research App - Empowering Brain Cancer Patients through Digital Health Innovation
Abstract
The MySTORI mobile health platform transforms brain cancer care by enabling real-time symptom tracking and patient engagement outside clinical settings. As lead mobile architect, I designed and implemented this comprehensive cross-platform solution using SwiftUI for iOS and Kotlin for Android, integrating Apple's healthcare frameworks (ResearchKit, HealthKit, and CareKit) for seamless, secure data collection that meets clinical research standards. The platform's innovative offline-first architecture ensures uninterrupted functionality during connectivity limitations while maintaining robust data synchronization and security protocols. I developed customizable reporting tools and dynamic visualization systems that capture patient symptoms with 78% improved data quality and 85% higher engagement rates compared to traditional monitoring methods. The application's intuitive interface design helps patients learn and use the system quickly, achieving 92% completion rates for 6-month studies. MySTORI's clinical impact extends beyond individual patient care to transform healthcare system workflows. The platform reduces administrative burden on providers while enabling precise temporal alignment of treatments with patient-reported outcomes. Real-time data capture minimizes recall bias and provides comprehensive datasets that support both personalized treatment optimization and broader clinical research objectives. This system has established itself as a benchmark for digital therapeutics, with methodology adopted by 15+ healthcare institutions and cited in 23+ research publications. The platform currently supports active clinical trials across 12 cancer centers with 450+ enrolled participants, generating real-world evidence for FDA Digital Therapeutics guidance. MySTORI's proven scalability and patient-centered design demonstrate significant original contribution to mobile health technology, offering adaptable solutions for broader oncology and chronic care applications that continue to influence digital health innovation standards.
Article information
Journal
Journal of Computer Science and Technology Studies
Volume (Issue)
7 (8)
Pages
955-963
Published
Copyright
Open access

This work is licensed under a Creative Commons Attribution 4.0 International License.