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. 2022 Jun-Jul:2022:512-519.
doi: 10.1109/compsac54236.2022.00095. Epub 2022 Aug 10.

Towards Developing a Voice-activated Self-monitoring Application (VoiS) for Adults with Diabetes and Hypertension

Affiliations

Towards Developing a Voice-activated Self-monitoring Application (VoiS) for Adults with Diabetes and Hypertension

Masud Rabbani et al. Proc COMPSAC. 2022 Jun-Jul.

Abstract

The integration of motivational strategies and self-management theory with mHealth tools is a promising approach to changing the behavior of patients with chronic disease. In this manuscript, we describe the development and current architecture of a prototype voice-activated self-monitoring application (VoiS) which is based on these theories. Unlike prior mHealth applications which require textual input, VoiS app relies on the more convenient and adaptable approach of asking users to verbally input markers of diabetes and hypertension control through a smart speaker. The VoiS app can provide real-time feedback based on these markers; thus, it has the potential to serve as a remote, regular, source of feedback to support behavior change. To enhance the usability and acceptability of the VoiS application, we will ask a diverse group of patients to use it in real-world settings and provide feedback on their experience. We will use this feedback to optimize tool performance, so that it can provide patients with an improved understanding of their chronic conditions. The VoiS app can also facilitate remote sharing of chronic disease control with healthcare providers, which can improve clinical efficacy and reduce the urgency and frequency of clinical care encounters. Because the VoiS app will be configured for use with multiple platforms, it will be more robust than existing systems with respect to user accessibility and acceptability.

Keywords: Blood Pressure Self-monitoring; Chronic Condition Monitoring; Diabetes Mellitus; Glucose Monitoring; Hypertension; Mobile Health (m-Health); Multiple Chronic Condition (MCC); Voice-activated Self-monitoring (VoiS).

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Figures

Fig. 1.
Fig. 1.
System Architecture of VoiS App.
Fig. 2.
Fig. 2.
Flow chart of VoiS.
Fig. 3.
Fig. 3.
Screenshot of the VoiS app (beta version): (a) login page, and (b) sign-up page.
Fig. 4.
Fig. 4.
Screenshot of the patient’s demography and schedule set-up page on VoiS app (beta version).
Fig. 5.
Fig. 5.
Screenshot of individual patient’s (demo patient) date-wise biomarker data.
Fig. 6.
Fig. 6.
Screenshot of individual patient’s (demo patient) longitudinal biomarker data: (a) for blood pressures, and (b) for glucose.

References

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