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Transforming healthcare with big data analytics: technologies, techniques and prospects
Myller Augusto Santos Gomes1, João Luiz Kovaleski1, Regina Negri Pagani1
1Production Engineering, Federal University of Technology of Paraná, State University of Ponta Grossa, Ponta Grossa, Brazil.
Journal of Medical Engineering & Technology
|July 19, 2022
Summary
Big data analytics in healthcare improves efficiency and decision-making by analyzing health data. This technology enhances clinical and managerial performance, offering better cost-benefit ratios and saving time for healthcare professionals.
Area of Science:
- Healthcare Informatics
- Health Data Science
- Computational Intelligence in Medicine
Background:
- Big data analytics technology is increasingly recognized for its effectiveness in healthcare.
- Analyzing health data provides crucial insights for strategic planning and decision-making.
- The adoption of big data analytics aims to optimize healthcare services and outcomes.
Approach:
- A systematic literature review was conducted using the Methodi Ordinatio protocol.
- Content analysis was employed to explore the literature on big data analytics in healthcare.
- The research focused on technologies, adoption areas, and purposes of big data analytics.
Key Points:
- Big data analytics tools enhance work performance at both clinical and managerial levels.
- Implementation of these tools improves the cost-benefit ratio of healthcare services.
- The technology reduces the time factor in healthcare workforce practices, increasing efficiency.
Conclusions:
- This study contributes to understanding the application of big data analytics in healthcare.
- It highlights the potential of computational intelligence to advance healthcare services.
- The findings support the strategic adoption of big data analytics for improved healthcare delivery.
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