Advancing Clinical Decision-Making: The Evolution and Impact of Clinical Decision Support Systems in Healthcare

The integration of technology in healthcare has transformed clinical decision-making through Decision Support Systems (DSS), improving the accuracy, efficiency, and quality of medical decisions. DSS provide clinicians with real-time data, predictive analytics, and evidence-based recommendations, significantly impacting diagnosis, treatment planning, and patient outcomes. As artificial intelligence, machine learning, and big data advance, DSS enable personalized medicine and early detection of complex conditions. This paper also addresses challenges like data privacy, workflow integration, and the need for continual refinement. Ultimately, DSS enhance patient safety and elevate the overall standard of healthcare delivery.

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Publication Details

Journal
International Journal of Innovative Research in Science Engineering and Technology
Published
2025-02-20
DOI
https://doi.org/10.15680/ijirset.2025.1402083
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Advancing Clinical Decision-Making: The Evolution and Impact of Clinical Decision Support Systems in Healthcare

C K Gomathy, B. Shanmuga Priya, V. Geetha, Davu Manasa
International Journal of Innovative Research in Science Engineering and Technology
Big Data and Business Intelligence
article

Advancing Clinical Decision-Making: The Evolution and Impact of Clinical Decision Support Systems in Healthcare

C K Gomathy, B. Shanmuga Priya, V. Geetha, Davu Manasa
article en

Abstract

The integration of technology in healthcare has transformed clinical decision-making through Decision Support Systems (DSS), improving the accuracy, efficiency, and quality of medical decisions. DSS provide clinicians with real-time data, predictive analytics, and evidence-based recommendations, significantly impacting diagnosis, treatment planning, and patient outcomes. As artificial intelligence, machine learning, and big data advance, DSS enable personalized medicine and early detection of complex conditions. This paper also addresses challenges like data privacy, workflow integration, and the need for continual refinement. Ultimately, DSS enhance patient safety and elevate the overall standard of healthcare delivery.

International Journal of Innovative Research in Science Engineering and TechnologyVol. 14(02)
Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya (IN)
Openalex Percentile: Top 91%
Big Data and Business Intelligence
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