Systematic review of Internet of medical things for cardiovascular disease prevention among Australian first nations

Khondker Mohammad Zobair; Luke Houghton; Dian Tjondronegoro; Louis Sanzogni; Md Zahidul Islam; Tapan Sarker; Md Jahirul Islam

doi:10.1016/j.heliyon.2023.e22420

Systematic review of Internet of medical things for cardiovascular disease prevention among Australian first nations

Heliyon. 2023 Nov 17;9(11):e22420. doi: 10.1016/j.heliyon.2023.e22420. eCollection 2023 Nov.

Authors

Khondker Mohammad Zobair¹, Luke Houghton¹, Dian Tjondronegoro¹, Louis Sanzogni¹, Md Zahidul Islam², Tapan Sarker³, Md Jahirul Islam⁴

Affiliations

¹ Department of Business Strategy and Innovation, Griffith Business School, Griffith University, Nathan, QLD, 4100, Australia.
² Computer Science and Engineering Discipline, Khulna University, Khulna, 9208, Bangladesh.
³ University of Southern Queensland, Brisbane, QLD, 4300, Australia.
⁴ Griffith Criminology Institute, Griffith University, Mt Gravatt, QLD, 4122, Australia.

Abstract

Chronic diseases within Indigenous communities constitute the most compelling ill-health burdens and treatment inequalities, particularly in rural and remote Australia. In response to these vital issues, a systematic literature review of the adoption of wearable, Artificial Intelligence-driven, electrocardiogram sensors, in a telehealth Internet of Medical Things (IoMT) context was conducted to scale up rural Indigenous health. To this end, four preselected scientific databases were chosen for data extraction to align with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) technique. From the initially collected ( $n = 4436$ ) articles, a total of 32 articles were analysed, being synthesised from the review inclusion criteria, maintaining strict eligibility and eliminating duplicates. None of the various studies found on this innovative healthcare intervention has given a comprehensive picture of how this could be an effective method of care dedicated to rural Indigenous communities with cardiovascular diseases (CVDs). Herein, we presented the unique concepts of IoMT-driven wearable biosensors tailored for rural indigenous cardiac patients, their clinical implications, and cardiovascular disease management within the telehealth domain. This work contributes to understanding the adoption of wearable IoMT sensor-driven telehealth model, highlighting the need for real-time data from First Nations patients in rural and remote areas for CVD prevention. Pertinent implications, research impacts, limitations and future research directions are endorsed, securing long-term Wearable IoMT sensor-driven telehealth sustainability.

Keywords: Artificial intelligence; Cardiovascular disease; Indigenous population; Internet of medical things; Internet of things; Machine learning; Telehealth; Wearable ECG sensors.

Publication types

Review