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Syst."],"published-print":{"date-parts":[[2023,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Extensive research has been conducted on healthcare technology and service advancements during the last decade. The Internet of Medical Things (IoMT) has demonstrated the ability to connect various medical apparatus, sensors, and healthcare specialists to ensure the best medical treatment in a distant location. Patient safety has improved, healthcare prices have decreased dramatically, healthcare services have become more approachable, and the operational efficiency of the healthcare industry has increased. This research paper offers a recent review of current and future healthcare applications, security, market trends, and IoMT-based technology implementation. This research paper analyses the advancement of IoMT implementation in addressing various healthcare concerns from the perspectives of enabling technologies, healthcare applications, and services. The potential obstacles and issues of the IoMT system are also discussed. Finally, the survey includes a comprehensive overview of different disciplines of IoMT to empower future researchers who are eager to work on and make advances in the field to obtain a better understanding of the domain.<\/jats:p>","DOI":"10.1007\/s40747-022-00767-w","type":"journal-article","created":{"date-parts":[[2022,5,31]],"date-time":"2022-05-31T04:02:36Z","timestamp":1653969756000},"page":"1027-1058","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":58,"title":["A survey on COVID-19 impact in the healthcare domain: worldwide market implementation, applications, security and privacy issues, challenges and future prospects"],"prefix":"10.1007","volume":"9","author":[{"given":"Tanzeela","family":"Shakeel","sequence":"first","affiliation":[]},{"given":"Shaista","family":"Habib","sequence":"additional","affiliation":[]},{"given":"Wadii","family":"Boulila","sequence":"additional","affiliation":[]},{"given":"Anis","family":"Koubaa","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0570-1813","authenticated-orcid":false,"given":"Abdul Rehman","family":"Javed","sequence":"additional","affiliation":[]},{"given":"Muhammad","family":"Rizwan","sequence":"additional","affiliation":[]},{"given":"Thippa Reddy","family":"Gadekallu","sequence":"additional","affiliation":[]},{"given":"Mahmood","family":"Sufiyan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,5,31]]},"reference":[{"key":"767_CR1","doi-asserted-by":"crossref","unstructured":"Saleem K, Saleem M, Zeeshan R, Javed AR, Alazab M, Gadekallu TR, Suleman A (2022) Situation-aware BDI reasoning to detect early symptoms of COVID 19 using smartwatch. 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