International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 3 (May-June 2025) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.

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

Author(s) Charu Sachdeva, Purvi Jain
Country India
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.
Keywords Artificial Intelligence, Healthcare Management, Clinical Decision Support Systems, Risk Management
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 3, May-June 2025
Published On 2025-05-26
DOI https://doi.org/10.36948/ijfmr.2025.v07i03.37788
Short DOI https://doi.org/g9mh8d

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