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

被引:3
作者
Abatal, Ahmed [1 ]
Mzili, Mourad [2 ]
Mzili, Toufik [3 ]
Cherrat, Khaoula [3 ]
Yassine, Asmae [3 ]
Abualigah, Laith [4 ,5 ,6 ,7 ]
机构
[1] Hassan Premier Univ, Fac Sci & Tech, Settat, Morocco
[2] Chouaib Doukkali Univ, Fac Sci, Dept Math, El Jadida, Morocco
[3] Chouaib Doukkali Univ, Fac Sci, Dept Comp Sci, EI Jadida, Morocco
[4] Al Al Bayt Jordan, Comp Sci Dept, Mafraq, Jordan
[5] Middle East Univ, MEU Res Unit, Amman, Jordan
[6] Appl Sci Private Univ, Appl Sci Res Ctr, Amman, Jordan
[7] Jadara Univ, Jadara Res Ctr, Irbid, Jordan
关键词
artificial intelligence (AI); internet of things (IoT); big data; healthcare transformation; predictive analytics; intelligent healthcare systems; TELEMEDICINE;
D O I
10.3991/ijoe.v20i11.49893
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:46 / 65
页数:20
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