Utilizing Big Data and Cloud Computing to Transform Healthcare: Improving Patient

Authors

  • Manoj Kumar USA Author

DOI:

https://doi.org/10.47363/JAICC/2022(1)E212

Keywords:

Big Data Analytics, Cloud Computing, Transformation of Healthcare, Improvement in Patient Outcomes, Operational Efficiency, AI/ML in Healthcare, Predictive Analytics, Real Time Decision-Making, Data Sharing, Personalized Treatment

Abstract

The Big Data analytics and Cloud Computing are the Facilitators for immense growth in healthcare systems both for patient outcomes and operational efficiency. This would enable seamless sharing of huge volumes of healthcare data across organizations, enabling real-time decision-making and collaborative care delivery. Healthcare providers using this infrastructure can securely store, manage, and access patient records and clinical data in an efficient way. Big Data analytics-fueled artificial intelligence enables predictive modeling for forecasting health trends and identification of at-risk patients for pathway optimization.AI-powered algorithms process complex data sets into actionable, pinpointed diagnostic insight with corresponding personalized treatment recommendations. These improvements in quality come at reduced cost for care. Real-time analytics through systems connectivity ensure timely interventions that enhance patient safety and resource utilization. It will also support the development of telemedicine, clinical research, and health monitoring through such convergence of transformative technologies. Big Data and Cloud Computing are poised to redefine the way care is delivered and make it more proactive, data-driven, and patient-centric as healthcare continues its journey toward digital transformation.

Author Biography

  • Manoj Kumar, USA

    Manoj Kumar, Concepts IT Inc, USA.

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Published

2022-07-20

How to Cite

Utilizing Big Data and Cloud Computing to Transform Healthcare: Improving Patient. (2022). Journal of Artificial Intelligence & Cloud Computing, 1(3), 1-5. https://doi.org/10.47363/JAICC/2022(1)E212

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