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Human-AI Collaboration for Balancing Technology and Compassion in Healthcare and Medicine
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Author(s): A. Ashwini (Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India), Banu Priya Prathaban (School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology, India), A. Mahadevan (Sri Venkateswara College of Engineering, India)and Syed Khaja Ahmeduddin Zakir (University of Technology and Applied Sciences, Ibra, Oman)
Copyright: 2026
Pages: 32
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.ch014
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Abstract
The structure of AI technology enhances healthcare efficiency through process automation along with complex medical data analysis and patient-decision support tools for healthcare providers. The fundamental capability of AI systems in healthcare does not consist of replacing medical staff, but it enhances their operational potential. The central issue stems from discovering an appropriate method to combine AI strength with essential human medical capabilities in healthcare services. AI systems acquire and analyze increased quantities of data but lack the capability to generate knowledgeable decisions. AI and human capability through symbiosis can become a synergistic experience for healthcare delivery. There are barriers to building trust and acceptance across healthcare providers and patients. Issues regarding data privacy and dependence on automated systems of judgment must also be addressed to bring AI into the routine of practice successfully. Achieving this synergy will refine hospital systems, as well as reinforce the basic principles of patient-centered medicine.
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