TY - JOUR
T1 - Trends, Technologies, and Key Challenges in Smart and Connected Healthcare
AU - Navaz, Alramzana Nujum
AU - Serhani, Mohamed Adel
AU - El Kassabi, Hadeel T.
AU - Al-Qirim, Nabeel
AU - Ismail, Heba
N1 - Funding Information:
Smart and connected health (SCH) refers to the solutions or systems for digital healthcare that are fully connected and can operate remotely [1].The National Science Foundation (NSF) and National Institutes of Health (NIH) of the USA launched the ‘‘Smart and Connected Health SCH: Connecting Data, People and Systems’’ program in 2013 to accelerate the creation and integration of innovative information technology approaches [2]. Their vision was to develop the next generation of multidisciplinary research to enable existing and new scientific collaborations to work on innovative ‘‘smart’’ ideas.
Funding Information:
This work was supported by the Zayed Health Center, UAE University under Grant 12R005.
Publisher Copyright:
© 2013 IEEE.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - COVID-19
KW - IoT
KW - big data
KW - deep learning
KW - healthcare
KW - robotics
KW - smart and connected healthcare
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U2 - 10.1109/ACCESS.2021.3079217
DO - 10.1109/ACCESS.2021.3079217
M3 - Article
AN - SCOPUS:85105852305
SN - 2169-3536
VL - 9
SP - 74044
EP - 74067
JO - IEEE Access
JF - IEEE Access
M1 - 9427539
ER -