Emerging Trends and Their Impact on Data Analysis in Health Informatics: Analytical Review

The field of health informatics is rapidly evolving with technological advancements that enable the integration, analysis, and application of vast amounts of health data. Emerging trends in data analysis within this domain are transforming healthcare by enhancing the accuracy of diagnoses, enabling personalized medicine, improving patient outcomes, and optimizing healthcare management. This paper explores the key emerging trends in data analysis within health informatics, including artificial intelligence (AI), machine learning, real-time data processing, big data analytics, and advancements in genomics and bioinformatics. Additionally, the paper discusses the role of data visualization, clinical decision support systems. This Analytical Review is publishe at https://publishing.datacops.ltd/category/health/

Publication Details

Journal
OPAL (Open@LaTrobe) (La Trobe University)
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.28445435.v2
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

Emerging Trends and Their Impact on Data Analysis in Health Informatics: Analytical Review

OPAL (Open@LaTrobe) (La Trobe University)
Machine Learning in Healthcare
article

Emerging Trends and Their Impact on Data Analysis in Health Informatics: Analytical Review

article en

Abstract

The field of health informatics is rapidly evolving with technological advancements that enable the integration, analysis, and application of vast amounts of health data. Emerging trends in data analysis within this domain are transforming healthcare by enhancing the accuracy of diagnoses, enabling personalized medicine, improving patient outcomes, and optimizing healthcare management. This paper explores the key emerging trends in data analysis within health informatics, including artificial intelligence (AI), machine learning, real-time data processing, big data analytics, and advancements in genomics and bioinformatics. Additionally, the paper discusses the role of data visualization, clinical decision support systems. This Analytical Review is publishe at https://publishing.datacops.ltd/category/health/

OPAL (Open@LaTrobe) (La Trobe University)
Openalex Percentile: Top 77%
Machine Learning in Healthcare
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