Intelligent Interconnected Healthcare System: Integrating IoT and Big Data for Personalized Patient Care

Ahmed Abatal; Mourad Mzili; Toufik Mzili; Khaoula Cherrat; Asmae Yassine; Laith Abualigah

doi:10.3991/ijoe.v20i11.49893

Authors

Ahmed Abatal Faculty of Sciences and Techniques, Hassan Premier University, Settat, Morocco https://orcid.org/0000-0002-5215-3602
Mourad Mzili Departement of mathematics, Faculty of Sciences, Chouaib Doukkali University, EI Jadida, Morocco
Toufik Mzili Departement of computer science, Faculty of Sciences, Chouaib Doukkali University, EI Jadida, Morocco
Khaoula Cherrat Department of Computer Science, Laboratory LAROSERI, Faculty of Science, Chouaib Doukkali University, EI Jadida, Morocco
Asmae Yassine Department of Computer Science, Laboratory LAROSERI, Faculty of Science, Chouaib Doukkali University, EI Jadida, Morocco
Laith Abualigah Computer Science Department, Al al-Bayt University, Mafraq 25113, Jordan;MEU Research Unit, Middle East University, Amman 11831, Jordan;Applied science research center, Applied science private university, Amman 11931, Jordan;Jadara Research Center, Jadara University, Irbid 21110, Jordan

DOI:

https://doi.org/10.3991/ijoe.v20i11.49893

Keywords:

Artificial Intelligence, IoT, Big Data, Healthcare Transformation,, Predictive Analytics,, Smart Healthcare Systems

Abstract

This paper introduces the intelligent interconnected healthcare system (IIHS), an innovative fusion of the Internet of Things (IoT) and big data analytics technologies designed to revolutionize proactive and personalized healthcare. IIHS facilitates the integration of real-time data from various devices, ambient sensors, and hospital equipment, creating a continuous stream of comprehensive healthcare data. Leveraging advanced data analysis, IIHS offers actionable insights for ongoing patient health monitoring, trend prediction through machine learning, and rapid information access via a user-friendly interface. The system architecture features a combination of centralized cloud storage and edge storage at healthcare facilities, enhancing both efficiency and security in data management. The effectiveness of IIHS has been demonstrated in two healthcare facilities, which reported significant reductions in patient length of stay and readmission rates. This indicates the system’s potential to improve patient care while seamlessly integrating with existing healthcare infrastructures. IIHS represents the future of digital and personalized medicine, offering a scalable, patient-centric solution that supports the ongoing transformation towards data-driven healthcare.

Author Biography

Laith Abualigah, Computer Science Department, Al al-Bayt University, Mafraq 25113, Jordan;MEU Research Unit, Middle East University, Amman 11831, Jordan;Applied science research center, Applied science private university, Amman 11931, Jordan;Jadara Research Center, Jadara University, Irbid 21110, Jordan

Laith Abualigah is the Director of the Department of International Relations and Affairs at Al Al-Bayt University, Jordan. He is an Associate Professor at the Computer Science Department, Al Al-Bayt University, Jordan. He is also a distinguished researcher at many prestigious universities. He received a Ph.D. degree from the School of Computer Science at Universiti Sains Malaysia (USM), Malaysia, in 2018. According to the report published by Clarivate, He is one of the Highly Cited Researchers in 2021-2023 and the 1\% influential Researcher, which depicts the 6,938 top scientists in the world. In addition, the first researcher in the domain of Computer Science in Jordan for 2021-2023. According to the report published by Stanford University, He is one of the 2\% influential scholars, which depicts the 100,000 top scientists in the world. He has published more than 500 journal papers and books, which collectively have been cited more than 20900 times (H-index = 64).