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The Impact of Artificial Intelligence on Contemporary Hospital Systems
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Author(s): D. Rajeswari (Department of Data Science and Business Systems, School of Computing, College of Engineering and Technology, SRM institute of Science and Technology, Kattankulathur, India), Amala K. J. (Department of Data Science and Business Systems, School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, India)and Athish Venkatachalam (Clemson University, USA)
Copyright: 2026
Pages: 34
Source title:
Evaluation and Assessment of AI-Driven Systems in Hospitals
Source Author(s)/Editor(s): Anandavalli M. (King Khalid University, Saudi Arabia), Prabhu Chakkaravarthy (SRM Institute of Science and Technology, India)and Dhanalakshmi J. (SRM Institute of Science and Technology, India)
DOI: 10.4018/979-8-3373-2787-7.ch001
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Abstract
Increasing the accuracy of diagnoses, streamlining operations, and improving the overall quality of care provided to patients are all examples of how artificial intelligence (AI) is transforming the healthcare industry. The purpose of this study is to investigate the implementation of AI-driven systems, the effectiveness of these systems, and the impact on patients in hospital settings. The most recent artificial intelligence models that are utilized in diagnosis, treatment planning, patient monitoring, and office assistance are examined in great detail. This research also investigates key performance indicators (KPIs), the ethical implications of using them, and issues such as the protection of data, the ease of interpretation, and the trust that clinicians have in practitioners. The results lend credence to a strategy that aims to integrate artificial intelligence tools into hospitals in a manner that is both effective and continuously reviewed to support a health system that is data-driven and learning.
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