Case Study:

The COVID-19 pandemic presented unprecedented challenges in healthcare, particularly in monitoring patients remotely.

Key issues included:

• Remote Monitoring: The need for an effective solution to monitor & track COVID-19 symptoms remotely, ensuring timely medical intervention.
• Anonymous Data Collection: Maintaining patient anonymity while collecting essential health data.
• Scalable Solution: Developing a system that can be easily scaled to accommodate a large number of users, including doctors, patients & their dependents.
• User-Friendly Onboarding: Ensuring a seamless onboarding process for both doctors & patients, allowing for easy access & usage.

To address these challenges, TappingToad developed an innovative remote patient monitoring solution with anonymous data collection & a robust backend infrastructure. The solution was implemented through the following steps:

Development of Mobile Applications

• Created anonymous Apple & Android apps using React Native for both patients & doctors.
• The apps allowed patients to monitor & share their COVID-19 symptoms with doctors securely.
• Included functionality for patients to add & monitor anonymous dependents, ensuring comprehensive family health tracking.

Doctor & Patient Onboarding

• GPs could onboard senior doctors using an invitation code.
• Doctors were able to onboard patients & other colleagues through an invitation code as well, streamlining the onboarding process.
• All users, including doctors & patients, could install the app on multiple devices & connect using a 4-digit temporary code.

Anonymous & Secure Registration

• Minimal registration details (age, gender & invitation code) to maintain user anonymity.
• All interactions & data sharing remained anonymous, confidential, enhancing privacy & security.

Backend Infrastructure

• Robust Backend: Utilized Spring Boot, Kotlin, MySQL on Kubernetes & Google Cloud for secure & scalable backend support.
• Secure Data Storage: Ensured secure storage & management of patient data, maintaining anonymity & privacy.

The implementation of this solution led to significant improvements & benefits:

• Enhanced Patient Monitoring: Provided a reliable & secure way for patients to share their health data with doctors, leading to better patient outcomes.
• Improved Public Health Response: The analytics feature helped identify COVID-19 hotspots, enabling more effective public health interventions.
• Increased Efficiency: The mobile app streamlined symptom tracking & communication, reducing the burden on healthcare providers & enhancing patient care.
• Future-Ready Platform: The potential for integration with wearables & additional health trackers positions the app as a future-ready solution for comprehensive health monitoring & data-driven insights.

Analytics for Hotspot Detection

• Location & Symptom Data: Combined symptom data with location information to identify COVID-19 hotspots.
• Mobile Map Visualization: Developed a feature to visualize hotspots on a mobile map, aiding public health officials in resource allocation & effective response planning.

Self-Monitoring Benefits

• Proactive Healthcare Management: Enabled doctors and patients to monitor symptoms, including those of dependents, promoting timely medical interventions.
• Enhanced Communication: Facilitated seamless communication between patients & healthcare providers, improving the overall quality of care.

Potential for Future Expansion

• Wearables & Health Trackers: Proposed extending the app to connect with wearables & input various health, mental health & environmental data for personalized analytics.
• Open Data Source for Research: Highlighted the potential for crowd-sourced data to become a validated open data source for research, providing valuable insights for public health & medical studies.

Interested In Working With Us?