Abstract

Vital signs monitoring is common practice in the medical field. However, hydration, which is also an essential vital sign, is often overlooked despite its importance and impact on the human body. Another problem that is essential to tackle is the ease of access to interpreted data for both patient and clinician. This thesis aims to tackle both challenges by presenting two cross-platform mobile applications. The first application enables the real-time monitoring of fluid intake with the help of a premade weight-based smart coaster. It also features an AI companion which is expected to motivate and assist both patients and clinicians. The second application extends the focus of the first by incorporating raw vital signs data from our partner’s medical hardware into an easy-to-use user-centered application that provides visualizations of these vital signs data. Both applications were developed using the Flutter framework according to MVVM architecture and are fully compatible across multiple platforms such as Android, iOS, and MacOS. After the creation of both apps, a study involving 18 participants coming from therapy or nursing backgrounds was conducted within two test sessions. Participants were asked to follow along a sequence of tasks involving the two applications and feedback from the participants were then gathered and used for evaluation. Overall results show a positive trend; testers noted that the two applications could potentially be useful for their line of work, though some feedback also highlighted the importance of adhering to strict clinical standards. While further improvements are still needed in order to create clinically-safe applications, this study is able to demonstrate how IoT-based clinical monitoring of data can be helpful towards improving overall clinician and patient workflow in the future.

Results/Implementation/Project Description

Conclusion

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