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Big data analytics in healthcare: promise and potential
Wullianallur Raghupathi1, Viju Raghupathi2
1Graduate School of Business, Fordham University, 113 W. 60th Street, 10023 New York, NY USA.
Health Information Science and Systems
|April 1, 2015
Summary
Big data analytics in healthcare offers significant promise for extracting insights from large datasets to improve patient outcomes and reduce costs. While challenges remain, its potential for transforming healthcare is substantial.
Area of Science:
- Healthcare Informatics
- Data Science
- Health Services Research
Background:
- The increasing volume and complexity of health data necessitate advanced analytical approaches.
- Big data analytics presents a paradigm shift in how healthcare data is utilized.
Purpose of the Study:
- To explore the promise and potential of big data analytics within the healthcare sector.
- To provide an overview for researchers and practitioners on leveraging big data in healthcare.
Main Methods:
- Literature review of big data analytics applications in healthcare.
- Discussion of benefits, architectural frameworks, and methodologies.
- Examination of reported case studies and associated challenges.
Main Results:
- Big data analytics in healthcare is an emerging field with considerable potential.
- The paper offers a comprehensive overview for healthcare professionals and researchers.
- Identified benefits include improved patient outcomes and cost reduction.
Conclusions:
- Big data analytics is poised to revolutionize healthcare by enabling data-driven insights.
- Overcoming existing challenges is crucial to fully realize the potential of big data in healthcare.
- The field holds promise for enhancing healthcare delivery and efficiency.
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