Abstract: The Internet of Things (IoT) has revolutionized healthcare by enabling the collection of vital patient symptoms and data from various devices. This data-driven approach forms the basis for a multi-agent model called Smart Patient-Centered Health Consultancy Model (SPCC-Model). This paper explores the constructs and sub-constructs of the SPCC-Model, encompassing IoT technology, technological infrastructure, government policies, multi-agent systems, analysis of patient data, classification analysis, and cause-effect analysis. This model integrates IoT technology, data analysis, healthcare providers, and patient preferences to deliver personalized and timely healthcare services. The model incorporates data collection, preprocessing, feature extraction, predictive analysis, continuous monitoring, and user interaction to provide personalized healthcare services. By leveraging IoT data, the SPCC-Model aims to enhance patient-centered care, improve healthcare outcomes, and ensure compliance with healthcare regulations.
Keywords: Data Analysis, IoT Devices, Healthcare, Multi-Agent Model, Patient-Centered Care, Predictive Analysis, Healthcare Technology, model validation.
Cite:
Daniel Khaoya Muyobo, Paul Oduor Oyile, "DEVELOPMENT OF SMART PATIENT-CENTERED HEALTH CONSULTANCY MODEL: USING INTERNET OF THINGS BASED MULTI-AGENT", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 1, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13104.
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DOI:
10.17148/IJARCCE.2024.13104
