Trends, Technologies, and Key Challenges in Smart and Connected Healthcare
| Autor: | Hadeel T. El Kassabi, Mohamed Adel Serhani, Alramzana Nujum Navaz, Nabeel Al-Qirim, Heba M. Ismail |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Artificial intelligence
IoT General Computer Science Big data Cloud computing Computers and Information Processing 02 engineering and technology big data Health care Pandemic 0202 electrical engineering electronic engineering information engineering General Materials Science heterocyclic compounds robotics business.industry Sensors General Engineering COVID-19 deep learning healthcare 020206 networking & telecommunications smart and connected healthcare TK1-9971 Risk analysis (engineering) Connected health Key (cryptography) Resource allocation 020201 artificial intelligence & image processing Computational and Artificial Intelligence Electrical engineering. Electronics. Nuclear engineering business Robotics and Automation Architectural model |
| Zdroj: | IEEE Access, Vol 9, Pp 74044-74067 (2021) Ieee Access |
| ISSN: | 2169-3536 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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