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Artificial Intelligence in Health EI and AI among healthcare professionals

Figure 1. Keyword cloud generated from the content of the reviewed articles

patients. EI-focused modules in these programs have 4.3. The impact of EI and AI on the motivation and
shown strong potential to improve healthcare professionals’ commitment of healthcare professionals
ability to navigate the emotional complexities of patient EI has been associated with greater motivation for
care. 21
continuing education among healthcare professionals.
Studies have shown that healthcare professionals with Research shows that those with strong emotional regulation
higher EI are more likely to engage in lifelong learning skills are more likely to participate in ongoing PD. The
25
and effectively apply acquired knowledge in real-world use of AI in training enhances this process by providing
settings. Therefore, integrating EI with AI-driven adaptive immediate feedback, which increases engagement and
9
learning technologies not only supports the PD of sustains learning interest. AI systems can recognize when
healthcare professionals but also aligns with institutional a learner reaches certain milestones and reward them
goals of developing a more competent and compassionate for achieving them. This real-time responsiveness is
workforce. This shift in educational priorities has the particularly valuable in the fast-paced world of healthcare,
potential to improve the healthcare system’s ability to where time is indeed money. By fostering a culture of
deliver high-quality care. 22 lifelong learning and PD, healthcare organizations can

4.2. The creation of collaborative learning motivate healthcare professionals to invest in their personal
environments growth, leading to improved patient care and greater job
satisfaction. 26
Collaborative learning plays a crucial role in healthcare
education, as emotional skills are most effectively developed 5. Limitations
in group settings. EI encourages open communication
23
and conflict management, both of which are essential The integration of EI and AI in healthcare training offers
for delivering high-quality patient care. Integrating EI promising potential; however, several limitations must
5
with AI improves these dynamics, creating richer and be addressed. One limitation is ensuring that training
more adaptive learning experiences. AI platforms can programs are comprehensive enough to educate healthcare
facilitate group discussions and clinical case simulations, professionals on the use of AI tools and to develop their
creating opportunities for collaborative learning. EI skills. In addition, to implement AI systems effectively,
These environments foster mutual learning, allowing institutions must provide financial resources for their
participants to share their unique skills and perspectives, establishment and activate the necessary infrastructure.
thereby enhancing the overall team performance. Such However, financial accessibility may not be guaranteed
collaboration is essential for building trust and shared in all institutions. Furthermore, over-reliance on AI
accountability, both of which are vital to improving patient could also weaken the human touch, which is essential in
outcomes. 24 patient care. Ethical concerns, such as data privacy and

Volume 2 Issue 3 (2025) 158 doi: 10.36922/AIH025080011