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Artificial Intelligence in Health                                   EI and AI among healthcare professionals



            changing circumstances, to make swift decisions under   tailor content to the user’s abilities – enables healthcare
            pressure, and to provide patient-centered, compassionate   professionals to engage in lifelong learning. Using these
            care.  Therefore, a varied skill set is essential. In general, a broad   tools, they can keep their knowledge and skills up-to-date,
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            range of skills are really necessary, especially the combination   stay informed about healthcare advances, and continuously
            of EI and AI as they are increasingly being recognized as key   develop practical skills. AI-based platforms revolutionize
            elements underpinning contemporary healthcare practice. 2  the speed and quality of skills development by providing
              Despite their differences, both EI and AI have made   interactive simulations, personalized examinations, and
            significant contributions to healthcare, impacting both   immediate feedback. 8
            clinical practice and professional development (PD) across   The integration of EI and AI in healthcare has created
            healthcare systems. This study extends existing literature on   new opportunities for PD, requiring a more integrated
            EI and AI by exploring their complementary roles in PD   approach  to training and  lifelong learning.  This
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            and offering new insights into their combined potential   convergence holds the potential to reshape conventional
            to address persistent challenges in healthcare. AI provides   methods of healthcare education and PD. This study aims
            revolutionary tools that enhance healthcare professionals’   to address the gap in the existing literature by exploring
            capabilities, broaden their knowledge, and improve their   the synergy between AI and EI in shaping the training
            ability  to  meet  patients’  needs.  Meanwhile,  EI  equips   of healthcare professionals who are both empathetic and
            healthcare professionals with the ability to perceive, analyze,   technologically skilled. In such an approach, doctors and
            and control both their own emotions and those of others. 3  nurses are trained not only to make accurate diagnoses
              In recent decades, EI has gained widespread recognition   with the assistance of AI but also to communicate those
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            as a key driver of effective healthcare. The 1995 Goleman’s   diagnoses with empathy and EI.  Together, EI and AI
            theory highlights the importance of understanding and   can help foster a healthcare workforce that is not only
            managing emotions in the workplace. In the healthcare   technically skilled but also highly sensitive to the human
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            sector, EI enables healthcare professionals to communicate   aspects of care.
            more effectively, build stronger connections with patients,   This study explores the integration of EI and AI in
            and foster collaborative environments with colleagues.    the PD and lifelong learning of healthcare professionals.
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            The importance of these skills cannot be overstated,   It focuses on the synergy of EI and AI in shaping more
            especially in emotionally charged situations where   adaptable, resilient, and compassionate healthcare
            empathy and emotional connection can significantly   professionals capable of meeting the new demands of
            influence a healthcare professional’s performance.   modern medicine. By exploring the promising potential
            Healthcare professionals  with  higher  EI  are  better   of this integrated approach, this study provides a new
            equipped to meet patient needs, demonstrate empathy, and   perspective on how it may reshape healthcare training and
            respond with patience – all of which are essential aspects of   ultimately enhance patient care.
            comprehensive, human-centered care.  Moreover, EI plays
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            a vital role in supporting healthcare professionals’ well-  2. Methodology
            being by helping to reduce stress, prevent burnout, and   This study explores the roles of EI and AI in supporting the
            manage emotional challenges common in the profession.    PD of healthcare professionals. Both the ability to engage
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            While EI has been widely discussed, this study explores   emotionally with  patients and  proficiency in  current
            the integration of EI and AI to further support and scale   technological advancements are essential in modern
            emotional competencies in healthcare training.     healthcare. This integrated approach equips healthcare
              Furthermore, AI is transforming the ways in      professionals to better manage their responsibilities,
            which  healthcare  professionals  learn,  practice,  and   improve patient care, and foster empathy in a rapidly
            access information. AI capabilities provide healthcare   changing healthcare environment. By balancing technical
            professionals with unique opportunities to engage with   proficiency and patient-centered care, this approach has
            educational content relevant to their skills and needs,   the potential to enhance both PD and clinical outcomes.
            enabling the development of highly personalized learning   Therefore, this study investigates the combined
            experiences.  This study highlights the potential of AI   impact of EI and AI in enhancing the skills of healthcare
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            in creating adaptive learning pathways when combined   professionals and the quality of patient care. This
            with emotional attunement, presenting a promising   methodological section outlines the research process,
            advancement in health education.                   including the databases used, the keywords employed, and
              AI – ranging from diagnostic robots that enhance   the inclusion and exclusion criteria applied in selecting
            clinical judgment to adaptive learning platforms that   relevant literature for analysis.


            Volume 2 Issue 3 (2025)                        155                           doi: 10.36922/AIH025080011
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