Page 162 - AIH-2-3

Artificial Intelligence in Health EI and AI among healthcare professionals

2.1. Databases in high-pressure healthcare settings. This aligns with
14
An extensive search was conducted using PubMed, Scopus, other findings indicating that healthcare professionals
Connected Papers, EBSCO, and Google Scholar to identify with higher EI experience lower levels of stress and
relevant published studies. burnout, suggesting that EI may act as a protective factor
against the emotional strain of a career in healthcare.
14
2.2. Inclusion criteria In addition, EI has been linked to improved teamwork
among healthcare professionals. By promoting effective
The selection criteria prioritized original and empirical
research published in English between 2010 and 2024, communication and conflict management, EI contributes
to a more cooperative work environment, and this sense of
focusing on studies that examined the impact of EI training teamwork is especially valuable in multidisciplinary teams,
or AI applications within the healthcare context.
where diverse expertise and perspectives are essential for
2.3. Exclusion criteria delivering optimal patient care. 12
Studies were excluded if they were opinion-based, not 3.1. The role of AI
peer-reviewed, or not focused on healthcare-related
applications. AI is transforming the education and training of healthcare
professionals. Adaptive learning systems are particularly
2.4. Search strategy promising for personalizing educational content based
on individual learning styles and needs, alongside other
The search strategy incorporated keywords such as 10
“emotional intelligence,” “artificial intelligence,” “healthcare AI technologies. For example, AI-powered platforms
professional,” “lifelong learning,” “clinical practice,” and can analyze unique learning profiles and tailor content
9
“skill development.” Boolean operations (AND/OR) were to better suit healthcare professionals. This personalized
applied to refine and narrow the search results. approach to learning enhances engagement and retention,
which is crucial for ensuring healthcare professionals
15
2.5. Selection of articles stay up-to-date with advancements in health sciences.
Moreover, AI tools – such as chatbots and virtual
Articles were initially screened based on their titles and assistants – facilitate patient interactions. These tools not
16
abstracts to determine their relevance. Full-text reviews only provide patients with immediate responses to their
were then conducted for articles that met the inclusion queries but also help healthcare professionals manage the
criteria to verify their suitability for the study.
emotional challenges associated with patient care. By
3
2.6. Data extraction supporting patients’ needs, AI systems allow healthcare
professionals to provide the highest quality care without
Key information was extracted from the selected articles, becoming overwhelmed by the emotional demands of
including the authors’ names, publication dates, research their occupation. 17
methodologies, demographic details of the sample group,
and main findings. A predefined template was used to 3.2. Synergistic effects of EI and AI
ensure consistency in the data extraction process.
This review highlights the complementary benefits of
3. Results integrating EI and AI in healthcare. For instance, AI
tools can provide healthcare professionals with real-time
The literature review offers valuable insights into the feedback on patients’ emotional state by analyzing cues
relationship between EI and AI in the context of healthcare such as the tone of their voice and body language. Shaik
18
professionals. A total of 15 studies met the inclusion criteria, et al. observed that AI tools help healthcare professionals
19
indicating a strong consensus on the relevance of these to personalize their approach, enabling more responsive
constructs in PD. EI consistently emerged as a key factor care to patients’ emotional needs. Incorporating EI
in enhancing the effectiveness of healthcare professionals. training into the design of AI systems helps ensure that
5
Those with higher EI demonstrated greater abilities in healthcare professionals use these technologies effectively
recognizing and regulating both their own emotions and appropriately. Combining EI and AI training not only
and those of their patients. This skill fosters stronger enhances healthcare professionals’ technical skills but also
12
therapeutic relationships, enabling healthcare professionals builds the emotional skills needed to successfully manage
to meet their patients’ needs with empathy, contributing to complex interactions with patients. The integration of
20
improved patient satisfaction and health outcomes. 13 EI and AI presents a promising opportunity to advance
One study found that EI plays a crucial role in healthcare practice, ensuring that technological innovation
mitigating burnout among caregiver – a major challenge complements the human aspects of care. 20

Volume 2 Issue 3 (2025) 156 doi: 10.36922/AIH025080011