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Optimizing healthcare big data performance through regional computing.

Tariq Alsahfi1, Afzal Badshah2, Omar Ibrahim Aboulola3

  • 1Department of Information Systems and Technology, University of Jeddah, Jeddah, Saudi Arabia. tmalsahfi@uj.edu.sa.

Scientific Reports
|January 24, 2025
PubMed
Summary
This summary is machine-generated.

Regional Computing (RC) addresses healthcare big data (HBD) challenges. This approach processes medical data regionally, reducing cloud latency for real-time analysis and improved patient care.

Keywords:
HealthcareHealthcare big dataInternet Of Medical Things (IoMT)Regional computing

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Area of Science:

  • Digital Health
  • Health Informatics
  • Data Science

Background:

  • The healthcare sector is undergoing a digital transformation with technologies like the Internet of Medical Things (IOMT), Electronic Health Records (EHR), and wearable devices.
  • This digital shift generates vast amounts of Healthcare Big Data (HBD), necessitating efficient analysis for improved patient outcomes and care delivery.
  • Conventional cloud-based processing faces latency and network congestion issues with large, time-sensitive HBD, hindering real-time applications.

Purpose of the Study:

  • To propose a Regional Computing (RC) paradigm to manage Healthcare Big Data (HBD).
  • To mitigate the latency and network congestion challenges associated with centralized cloud processing of HBD.
  • To enable timely, real-time data analysis for enhanced healthcare decision-making.

Main Methods:

  • The study proposes a Regional Computing (RC) framework.
  • This framework utilizes strategically positioned regional servers for localized data collection, processing, and storage.
  • The RC approach aims to reduce reliance on centralized cloud infrastructure, particularly during peak loads.

Main Results:

  • The RC paradigm effectively reduces latency in Healthcare Big Data (HBD) processing.
  • Regionalized data management facilitates real-time analysis at the local level.
  • The framework alleviates constraints imposed by traditional cloud computing for time-sensitive medical data.

Conclusions:

  • Regional Computing (RC) offers a viable solution for managing Healthcare Big Data (HBD) challenges.
  • This approach enhances the ability of healthcare providers to leverage real-time data for personalized and optimized patient care.
  • RC empowers data-driven decision-making, leading to improved diagnostics, monitoring, and surgical interventions.