Trends, Technologies, and Key Challenges in Smart and Connected Healthcare

Alramzana Nujum Navaz, Mohamed Adel Serhani, Hadeel T. El Kassabi, Nabeel Al-Qirim, Heba Ismail

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Cardio Vascular Diseases (CVD) is the leading cause of death globally and is increasing at an alarming rate, according to the American Heart Association's Heart Attack and Stroke Statistics-2021. This increase has been further exacerbated because of the current coronavirus (COVID-19) pandemic, thereby increasing the pressure on existing healthcare resources. Smart and Connected Health (SCH) is a viable solution for the prevalent healthcare challenges. It can reshape the course of healthcare to be more strategic, preventive, and custom-designed, making it more effective with value-added services. This research endeavors to classify state-of-the-art SCH technologies via a thorough literature review and analysis to comprehensively define SCH features and identify the enabling technology-related challenges in SCH adoption. We also propose an architectural model that captures the technological aspect of the SCH solution, its environment, and its primary involved stakeholders. It serves as a reference model for SCH acceptance and implementation. We reflected the COVID-19 case study illustrating how some countries have tackled the pandemic differently in terms of leveraging the power of different SCH technologies, such as big data, cloud computing, Internet of Things, artificial intelligence, robotics, blockchain, and mobile applications. In combating the pandemic, SCH has been used efficiently at different stages such as disease diagnosis, virus detection, individual monitoring, tracking, controlling, and resource allocation. Furthermore, this review highlights the challenges to SCH acceptance, as well as the potential research directions for better patient-centric healthcare.

Original languageEnglish
Article number9427539
Pages (from-to)74044-74067
Number of pages24
JournalIEEE Access
Volume9
DOIs
Publication statusPublished - 2021

Keywords

  • Artificial intelligence
  • COVID-19
  • IoT
  • big data
  • deep learning
  • healthcare
  • robotics
  • smart and connected healthcare

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)
  • Electrical and Electronic Engineering

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