REVOLUTIONIZING HEALTHCARE DATA MANAGEMENT: HARNESSING BIG DATA TECHNOLOGIES FOR ADVANCED ANALYTICS

Authors

  • Bharath Srinivasaiah Engineer Lead Sr, EDA- Provider, Employer and Financial Analytic Solutions Elevance Health, Richmond, Virginia, United States. Author

Keywords:

Healthcare, Big Data, Zettabytes, Electronic Health Records, Medical Imaging, Wearable Device Data, Cost Savings, Patient-centric

Abstract

As of 2018, the healthcare industry found itself bombarded with an unusual daily influx of data, estimated to be in the range of zettabytes, and this volume was expected to double every two years. This surge of data, comprising electronic health records, medical imaging, genomic data, wearable device data, and more posed both a significant challenge and a promising opportunity for the industry. The very magnitude of healthcare data was overwhelming, making it critical for healthcare systems to embrace cutting-edge technologies and solutions to effectively manage, analyze, Moreover, it extracts value from this wealth of information. The healthcare industry has an opportunity to reap significant benefits from big data, as evidenced by a study conducted by McKinsey. The research indicates that by leveraging big data technologies, healthcare organizations can save up to $100 billion annually [1]. These findings underscore the potential of big data to drive transformative change in the healthcare industry, offering substantial cost savings and improved patient care. As the industry tussles with data management challenges, adopting big data technologies can pave the way for a more efficient and effective healthcare system. It presents a significant opportunity for the industry to optimize its operations and improve patient care, thereby establishing itself as a more patient-centric and innovative industry.

References

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Published

2024-03-06

How to Cite

REVOLUTIONIZING HEALTHCARE DATA MANAGEMENT: HARNESSING BIG DATA TECHNOLOGIES FOR ADVANCED ANALYTICS. (2024). INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY (IJIT), 5(01), 24-30. https://iaeme-library.com/index.php/IJIT/article/view/IJIT_05_01_002