AI-Driven Innovations In Healthcare Administration: Streamlining Processes For Improved Operational Efficiency

The integration of Artificial Intelligence (AI) in healthcare has revolutionized hospital administration, clinical decision-making, and patient care. AI-driven technologies enhance diagnostic accuracy, streamline resource management, and improve operational efficiency. Clinical Decision Support Systems (CDSS) powered by AI analyze vast medical datasets to assist in diagnosis and treatment planning with high precision. In hospital risk management, AI-driven predictive analytics enhance patient safety, reduce medication errors, and support infection control measures. Intensive Care Units (ICUs) benefit from AI through mortality risk prediction, workflow optimization, and real-time patient monitoring. The increasing approval of AI-powered medical devices by regulatory bodies like the FDA has further expanded AI applications in radiology, digital pathology, and cardiovascular diagnostics. Global leaders such as Microsoft and Tencent Miying, alongside Indian startups are driving AI advancements in healthcare. These innovations underscore AI’s transformative potential in improving efficiency, reducing costs, and enhancing patient outcomes, making it an indispensable part of modern healthcare.

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Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-05-26
DOI
https://doi.org/10.36948/ijfmr.2025.v07i03.37788
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

AI-Driven Innovations In Healthcare Administration: Streamlining Processes For Improved Operational Efficiency

P. K. Jain, Charu Sachdeva -
International Journal For Multidisciplinary Research
Big Data and Business Intelligence
article

AI-Driven Innovations In Healthcare Administration: Streamlining Processes For Improved Operational Efficiency

P. K. Jain, Charu Sachdeva -
article en

Abstract

The integration of Artificial Intelligence (AI) in healthcare has revolutionized hospital administration, clinical decision-making, and patient care. AI-driven technologies enhance diagnostic accuracy, streamline resource management, and improve operational efficiency. Clinical Decision Support Systems (CDSS) powered by AI analyze vast medical datasets to assist in diagnosis and treatment planning with high precision. In hospital risk management, AI-driven predictive analytics enhance patient safety, reduce medication errors, and support infection control measures. Intensive Care Units (ICUs) benefit from AI through mortality risk prediction, workflow optimization, and real-time patient monitoring. The increasing approval of AI-powered medical devices by regulatory bodies like the FDA has further expanded AI applications in radiology, digital pathology, and cardiovascular diagnostics. Global leaders such as Microsoft and Tencent Miying, alongside Indian startups are driving AI advancements in healthcare. These innovations underscore AI’s transformative potential in improving efficiency, reducing costs, and enhancing patient outcomes, making it an indispensable part of modern healthcare.

International Journal For Multidisciplinary ResearchVol. 7(3)
Openalex Percentile: Top 80%
Big Data and Business Intelligence
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