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The Human Factor: Evaluating the Impact of AI on Hospital Staff and Patient Care
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Author(s): P. Kirubanantham (SRM Institute of Science and Technology, Kattankulathur, India), Saranya A. (Amity University, Mumbai, India), M. Revathi (SRM Institute of Science and Technology, Kattankulathur, India), M. Sayeekumar (Jain University, India)and Suresh Anand M. (SRM Institute of Science and Technology, Kattankulathur, India)
Copyright: 2026
Pages: 36
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.ch015
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Abstract
This chapter examines how human factors shape the impact of artificial intelligence (AI) on hospital staff and patient healthcare outcomes. As AI technologies expand in healthcare, their influence on human interactions, workflows, and treatment results require thorough analysis. AI-driven clinical support systems, diagnostic tools, and patient interaction technologies enhance healthcare practitioners' competence but also raise concerns about trust, communication, and job satisfaction. AI simultaneously boosts clinical efficiency and reshapes how professionals engage with patients. Using real-world examples and research findings, this chapter explores AI's effects on hospital staff workloads, decision-making, and patient experiences. It also addresses algorithmic bias and underscores the need for human-centered AI implementation. Regular evaluation systems are crucial for assessing AI's impact on staff and evolving technology. By fostering AI-professional collaboration, hospitals can improve patient outcomes and satisfaction.
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