The Impact of Big Data Analytics on Healthcare Delivery and Patient Outcomes

In the healthcare industry, big data analytics is transforming how physicians approach diagnosis, patient care, and operational management. By leveraging vast amounts of healthcare data, encompassing Electronic Health Records, medical imaging, genomics, and real-time monitoring via wearables, big data enables more personalized treatments, better decision-making, and improved healthcare delivery. The healthcare industry is using big data analytics, such as operational optimization, personalized medicine, and predictive analytics, to change the way doctors practice. The research also addresses the challenges faced, such as data privacy, interoperability, and a lack of skilled personnel. A qualitative analysis of case studies and literature reveals significant advancements, though it underscores the importance of overcoming existing barriers to realize big data's full potential in healthcare.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-01
DOI
https://doi.org/10.5281/zenodo.15119167
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
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article

The Impact of Big Data Analytics on Healthcare Delivery and Patient Outcomes

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare
article

The Impact of Big Data Analytics on Healthcare Delivery and Patient Outcomes

article en

Abstract

In the healthcare industry, big data analytics is transforming how physicians approach diagnosis, patient care, and operational management. By leveraging vast amounts of healthcare data, encompassing Electronic Health Records, medical imaging, genomics, and real-time monitoring via wearables, big data enables more personalized treatments, better decision-making, and improved healthcare delivery. The healthcare industry is using big data analytics, such as operational optimization, personalized medicine, and predictive analytics, to change the way doctors practice. The research also addresses the challenges faced, such as data privacy, interoperability, and a lack of skilled personnel. A qualitative analysis of case studies and literature reveals significant advancements, though it underscores the importance of overcoming existing barriers to realize big data's full potential in healthcare.

Zenodo (CERN European Organization for Nuclear Research)
G.S. Science, Arts And Commerce College (IN)
Openalex Percentile: Top 48%
Artificial Intelligence in Healthcare
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