Page 163 - AIH-2-3
P. 163
Artificial Intelligence in Health EI and AI among healthcare professionals
Evidence from the existing literature shows that both blob/main/main.py – that visualizes the key terms and
EI and AI contribute to the PD of healthcare professionals. concepts emerging from the reviewed studies. This
By fostering emotional competence alongside technical visualization highlights the frequency and significance
expertise, healthcare systems can improve the quality of of the central themes, offering a concise overview of the
patient care and support healthcare professionals’ well- critical ideas surrounding EI and AI in the context of
being. This dual focus is essential for addressing the healthcare professionals. It provides a clear illustration of
evolving challenges within the healthcare sector. the dominant themes and their relationships as identified
This study identified several key studies that met the in the research literature.
inclusion criteria, highlighting the significance of EI and 4. Discussion
AI in the PD of healthcare professionals. High EI was
associated with improved communication, enhanced 4.1. Implications of EI and AI on the PD of healthcare
patient satisfaction, and reduced burnout. On the other professionals
hand, AI contributed to personalized learning tools, The integration of EI and AI in the PD of healthcare
improved diagnostic accuracy, and supported decision- professionals presents a valuable avenue for PD. Integrating
making. A summary of the studies is provided in Table 1. EI into training programs helps healthcare professionals
Figure 1 presents a keyword cloud – generated using to enhance their communication skills and emotional
https://github.com/eddabbah/keywordsMapGenerator/ regulation – both critical for effective interactions with
Table 1. Summary of key studies on the role of emotional intelligence and artificial intelligence in healthcare professionals
Authors Title Year Sample Methodology Research Key findings
size question
Johnson 1 The shifting landscape of health 2011 150 Quantitative The impact of EI Improved communication
care: toward a model of health care on patient care and reduced burnout
empowerment
Bohr and Memarzadeh 10 The rise of artificial intelligence in 2020 250 Systematic review AI’s role in Boosted engagement and
healthcare applications personalized personalized learning
learning pathways
Karimi et al. 6 Emotional intelligence: predictor 2021 300 Quantitative EI and caregiver Reduced burnout and
of employees’ well-being, quality burnout improved well-being
of patient care, and psychological
empowerment
Cao et al. 14 The influence of emotional 2022 220 Cross-sectional The effect of EI Lower burnout rates and
intelligence on job burnout of on job burnout better emotional regulation
healthcare workers and mediating and workplace
role of workplace violence: a violence
cross-sectional study
McNulty and Politis 5 Empathy, emotional intelligence, 2023 120 Qualitative EI in team Enhanced teamwork and
and interprofessional skills in dynamics patient satisfaction
healthcare education
Coronado-Maldonado and Emotional intelligence, leadership, 2023 100 Qualitative EI and leadership Strengthened leadership
Benítez-Márquez 12 and work teams: a hybrid literature in healthcare skills and teamwork
review teams
Shaik et al. 19 Remote patient monitoring using 2023 180 Longitudinal Synergy of EI Enhanced clinical
artificial intelligence: current state, and AI decision-making and
applications, and challenges emotional regulation
Mishra 7 The impact of AI on improving 2024 200 Mixed-methods AI in diagnostics Increased accuracy and
the efficiency and accuracy of decision efficiency
managerial decisions
Narimisaei et al. 11 Exploring emotional intelligence 2024 130 Mixed-methods AI-driven Enhanced patient-clinician
in artificial intelligence systems: emotional emotional communication
a comprehensive analysis of recognition in
emotion recognition and response clinical settings
mechanisms
Abbreviations: AI: Artificial intelligence; EI: Emotional intelligence.
Volume 2 Issue 3 (2025) 157 doi: 10.36922/AIH025080011

