Table 5.
Areas | Issues | Recommendations |
---|---|---|
Data acquisition |
Data quality Sensor variance Data collection method without contextual, pre-morbidity information |
Standardisation of sensors, data collection methods, and customisation as per individual user-profiles. |
Balanced estimation |
Over and under estimation | Interoperability |
Health equality |
Everyone cannot afford to wear and use the technology. Most of these require internet-based operations. Therefore, many people are outliers from these benefits. | Increasing accessibility to the device and the data for inclusive benefit. |
Representability | A few users compared to a large population use same wearable sensor devices. Therefore, the data cannot be representative of the entire population. | Standardisation of parts and components, method, process, manufacturing, and data analytics can bring in more parity. |
Battery issues | Long-lasting batteries, easy to recharge and replace batteries | Upgrading battery technology with features like wireless charging with size-compatible batteries in devices |
Complexity of Use | Complex hardware, software, and user interface of device can make the device less user-compatible | Elevating the user interface with minimum customization settings |
Excessive air traffic | Results in blocking airwaves and thus loss of data | Exceeded bandwidth |
Media Device Fatigue | Feels like a burden carrying several devices though they serve multiple purposes | Development of ergonomic and user-friendly device designs |
Fractured Proprietary Development | Limited use cases of developed devices | Develop device that serves multiple purposes and can be beneficial for several different types for patients |
Data Transmission | Invasion of privacy and data theft or data leak issues | Ensure the reliability and trustworthiness of data and access to contextual data. Setting compliance standards |
Potential Health Problems | Internal working mechanism of devices shouldn’t cause health problems to users e.g., radiation, etc. | Appropriate scientific research and device quality assurance reports |
Device Safety Issues | Inappropriate functioning in wearables | Ensure the device safety abiding safety regulations provided by the standardised organizations |
Mobile Apps | Use of only mobile apps can limit the data accuracy and sensitivity | Mobile apps complementing user experience and overall working wearables can be preferred |
User Distrust | User data privacy issue | Good company data management |
Slow Vendor Progress | Either outdated or superfluous modalities could slower the vendor progress | Up-to-date device models according to the user requirements |
Negative User Experience | Can lead to bad marketing of the products | Balanced set of features |