Systematic review of Internet of medical things for cardiovascular disease prevention among Australian first nations
Article
Article Title | Systematic review of Internet of medical things for cardiovascular disease prevention among Australian first nations |
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ERA Journal ID | 212685 |
Article Category | Article |
Authors | Zobair, Khondker Mohammad, Houghton, Luke, Tjondronegoro, Dian, Sanzogni, Louis, Islam, Md Zahidul, Sarker, Tapan and Islam, Md Jahirul |
Journal Title | Heliyon |
Journal Citation | 9 (11) |
Article Number | e22420 |
Number of Pages | 22 |
Year | 2023 |
Publisher | Elsevier |
Place of Publication | United Kingdom |
ISSN | 2405-8440 |
Digital Object Identifier (DOI) | https://doi.org/https://doi.org/10.1016/j.heliyon.2023.e22420 |
Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S2405844023096287?via%3Dihub |
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 intelligenceCardiovascular diseaseIndigenous populationInternet of medical thingsInternet of thingsMachine learningTelehealthWearable ECG sensors |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 451906. Indigenous data and data technologies |
Byline Affiliations | Griffith University |
Khulna University, Bangladesh | |
University of Southern Queensland |
https://research.usq.edu.au/item/z31q2/systematic-review-of-internet-of-medical-things-for-cardiovascular-disease-prevention-among-australian-first-nations
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