Remote Ambulatory Monitoring with NFC and QR Event Triggers
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for collecting health data from ambulatory patients, such as mood, pain level, and seizure events, are inaccurate due to reliance on patient memory or manual entry, which is difficult during compromised states.
Innovation Solution
A system and method using mobile devices to automatically detect and register health events via NFC tags, QR codes, or visual objects, eliminating the need for manual input and ensuring timely data collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If patients manually enter health data in paper or electronic diaries, then data collection is possible, but data accuracy decreases and user effort increases when patients are compromised
Solution Approach 1:
The system enables automatic event registration through environmental triggers and sensors without requiring patient action. Health events are detected and recorded automatically by the mobile device when triggers are activated, eliminating the need for manual patient entry while maintaining high data accuracy.
Solution Approach 2:
Manual writing or typing of health data is replaced by automatic electronic detection systems. Sensors, cameras, and trigger mechanisms automatically detect and record health events, substituting the mechanical action of manual data entry with automated electronic measurement and recording processes.
2Loss of time
If patients manually enter health data, then data can be recorded, but timely data collection is compromised during medical events
Solution Approach 1:
Triggers and sensors are pre-positioned and configured to automatically detect and record health events as they occur. The system is prepared in advance with detection mechanisms in place, so when a health event happens, data is collected immediately without requiring the patient to find or operate a diary during the compromised state.
3Measurement precision
If monitoring devices are used to measure health data, then objective data is collected, but devices cannot be carried everywhere and cannot measure certain data items
Solution Approach 1:
The mobile device serves multiple functions: it acts as a trigger detector, sensor hub, data recorder, and communication device. By utilizing the universal capabilities of a smartphone or tablet, the system achieves both portability (can be carried everywhere) and comprehensive measurement capability (detects various health events through multiple sensors and triggers) without requiring specialized dedicated monitoring devices.
4Measurement precision
If automatic event registration is implemented, then data accuracy improves, but system complexity increases
Solution Approach 1:
Physical triggers (magnetic, NFC, visual) serve as intermediaries between the health event and the mobile device's recording system. These simple, low-cost triggers mediate the interaction, allowing automatic detection without requiring complex integrated circuits or sophisticated sensor arrays within the mobile device itself, thus maintaining data accuracy while limiting system complexity.
Data Source
AI summary
Systems and methods for remote monitoring for an ambulatory patient, including: receiving, by a processor of a mobile computing device, a database of identification data for a plurality of objects associated with at least one event by the patient, engaging, by the mobile computing device, at least one object of the plurality of objects, verifying, by the processor of the mobile computing device, the identification data for the at least one object with the received database, and registering, by the processor of the mobile computing device, an event by the patient that is associated with the engaged object.