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A Nudge-Inspired AI-Driven Health Platform for Self-Management of Diabetes

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journal contribution
posted on 2024-04-10, 06:04 authored by S Joachim, ARM Forkan, PP Jayaraman, Md MorshedMd Morshed, N Wickramasinghe
Diabetes mellitus is a serious chronic disease that affects the blood sugar levels in individuals, with current predictions estimating that nearly 578 million people will be affected by diabetes by 2030. Patients with type II diabetes usually follow a self-management regime as directed by a clinician to help regulate their blood glucose levels. Today, various technology solutions exist to support self-management; however, these solutions tend to be independently built, with little to no research or clinical grounding, which has resulted in poor uptake. In this paper, we propose, develop, and implement a nudge-inspired artificial intelligence (AI)-driven health platform for self-management of diabetes. The proposed platform has been co-designed with patients and clinicians, using the adapted 4-cycle design science research methodology (A4C-DSRM) model. The platform includes (a) a cross-platform mobile application for patients that incorporates a macronutrient detection algorithm for meal recognition and nudge-inspired meal logger, and (b) a web-based application for the clinician to support the self-management regime of patients. Further, the platform incorporates behavioral intervention techniques stemming from nudge theory that aim to support and encourage a sustained change in patient lifestyle. Application of the platform has been demonstrated through an illustrative case study via two exemplars. Further, a technical evaluation is conducted to understand the performance of the MDA to meet the personalization requirements of patients with type II diabetes.

History

Volume

22

Issue

12

Start Page

1

End Page

24

Number of Pages

24

eISSN

1424-8220

Publisher

MDPI

Publisher License

CC BY

Additional Rights

CC-BY

Language

en

Peer Reviewed

  • Yes

Open Access

  • Yes

Acceptance Date

2022-06-16

External Author Affiliations

Swinburne University of Technology

Author Research Institute

  • Centre for Intelligent Systems

Era Eligible

  • Yes

Medium

Electronic

Journal

Sensors