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.
Authors
- P. K. Jain (ORCID: https://orcid.org/0000-0001-8492-5921)
- Charu Sachdeva -
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
- 0.00