Urban Health Informatics through Cloud-Based Data Integration

Authors

  • Ali H. Mhmood Assistant Lecturer in the Department of Petroleum Systems Control Engineering, Tikrit University
  • Murshid Reza University Of Agriculture Faisalabad, 38040, Pakistan

Keywords:

Cloud-based integration platforms, Urban health informatics, Data aggregation, Scalability, Real-time data processing

Abstract

Cloud-based data integration is critical for effective urban health informatics solutions. Data from multiple sources, such as electronic health records (EHRs), public health databases, wearable devices, social media, and environmental sensors, are consolidated into a single cloud-based platform. This study examines the advantages of cloud-based integration platforms in urban health informatics, focusing on data aggregation, scalability, data interoperability, real-time data processing, collaborative research and analytics, enhanced data security and privacy, and cost efficiency.Cloud-based platforms enable the aggregation of diverse data types and formats from various sources, providing a comprehensive view of urban health for better analysis and decision-making. These platforms also offer scalability, accommodating the exponential growth of health data in urban areas by scaling resources based on demand, ensuring efficient data integration. Data interoperability is facilitated by cloud-based integration platforms, supporting data exchange formats and health information standards. This enables seamless data sharing and integration among healthcare providers, public health agencies, and urban planning departments, promoting collaboration and improving urban health outcomes. Real-time data processing capabilities allow for timely information in urban health scenarios. Early detection of disease outbreaks, emergency response, and resource allocation are enhanced through real-time data analysis. Cloud-based integration platforms provide a centralized environment for collaborative research and analytics. Stakeholders can securely access and analyze integrated data, gaining insights into health trends and developing evidence-based interventions. Advanced analytics and predictive modeling are facilitated by machine learning and artificial intelligence algorithms. Enhanced data security and privacy are ensured through robust security measures employed by cloud service providers. Encryption, access controls, and regular backups protect sensitive health information and ensure compliance with privacy regulations. The cost efficiency of cloud-based data integration eliminates the need for local infrastructure and maintenance costs. Organizations can leverage cloud resources, paying only for the resources consumed, making urban health informatics more accessible and cost-effective.

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Published

2022-12-21

How to Cite

Mhmood, A. H., & Reza, M. (2022). Urban Health Informatics through Cloud-Based Data Integration. Journal of Big-Data Analytics and Cloud Computing, 7(4), 1–17. Retrieved from https://questsquare.org/index.php/JOURNALBACC/article/view/3