Background: Artificial intelligence (AI) is increasingly embedded in medical education, providing benefits in instructional design, content creation, and administrative efficiency. Tools like ChatGPT are reshaping training and teaching practices in digital health. However, concerns about faculty overreliance highlight risks to pedagogical autonomy, cognitive engagement, and ethics. Despite global interest, there is limited empirical research on AI dependency among medical educators, particularly in underrepresented regions like the Global South. Objective: This study focused on Palestine and aimed to (1) identify factors contributing to AI dependency among medical educators, (2) assess its impact on teaching autonomy, decision-making, and professional identity, and (3) propose strategies for sustainable and responsible AI integration in digital medical education. Methods: A qualitative research design was used, using semistructured interviews (n=22) and focus group discussions (n=24) involving 46 medical educators from nursing, pharmacy, medicine, optometry, and dental sciences. Thematic analysis, supported by NVivo (QSR International), was conducted on 15.5 hours of transcribed data. Participants varied in their frequency of AI use: 45.7% (21/46) used AI daily, 30.4% (14/46) weekly, and 15.2% (7/46) monthly. Results: In total, 5 major themes were identified as drivers of AI dependency: institutional workload (reported by >80% 46] of participants), low academic confidence (noted by 28/46, 60%), and perfectionism-related stress (46, 50%). The following 6 broad consequences of AI overreliance were identified: Skills Atrophy (reported by 89% [41/46]): educators reported reduced critical thinking, scientific writing, and decision-making abilities. Pedagogical erosion (35/46, 76%): decreased student interaction and reduced teaching innovation. Motivational decline (31/46, 67%): increased procrastination and reduced intrinsic motivation. Ethical risks (24/46, 52%): concerns about plagiarism and overuse of AI-generated content. Social fragmentation (22/46, 48%): diminished peer collaboration and mentorship. Creativity suppression (20/46, 43%): reliance on AI for content generation diluted instructional originality. Strategies reported by participants to address these issues included establishing boundaries for AI use (n=41), fostering hybrid intelligence (n=37), and integrating AI literacy into teaching practices (n=39). Conclusions: While AI tools can enhance digital health instruction, unchecked reliance risks eroding essential clinician competencies. This study identifies cognitive, pedagogical, and ethical consequences of AI overuse in medical education and highlights the need for AI literacy, professional development, and ethical frameworks to ensure responsible and balanced integration.

EMRs play an essential role in documenting clinical information. Nurses are integral to the success of an EMR implementation, as they are the largest group of employees in a hospital and provide patient care. A major factor in the success of EMR implementation is nurses' acceptance of the system. This study is designed to measure nurses' willingness to use EMRs in clinical practice, determine factors influencing nurses' acceptance of EMR documentation in clinical practice, and gain an understanding of the nurses' perspective on EMRs to encourage the adoption and implementation of EMRs in other health facilities in Saudi Arabia. This study included nurses from Hail General Hospital, Maternity and Children Hospital, King Khalid Hospital, and Hail General Hospital. Study results indicate that perceived usefulness and ease of use are strongly correlated, resulting in nurses' greater acceptance of EMRs. According to the study results, nurses are willing to use EMRs. Our result shows that overall, nurses find the EMR useful in their jobs, with 40.9% agreeing and 24.4% strongly agreeing. Whereas the overall easiness was 9.4% agreed and 24 strongly agreed. Nurses need to be prepared for a demanding workplace through their nursing curriculum. Nursing students and professionals should understand the importance of EMRs in ensuring high-quality, effective, and efficient patient care. It is imperative that nurses continuously improve their computer skills to keep up with technological advancements.

EMRs play an essential role in documenting clinical information. Nurses are integral to the success of an EMR implementation, as they are the largest group of employees in a hospital and provide patient care. A major factor in the success of EMR implementation is nurses' acceptance of the system. This study is designed to measure nurses' willingness to use EMRs in clinical practice, determine factors influencing nurses' acceptance of EMR documentation in clinical practice, and gain an understanding of the nurses' perspective on EMRs to encourage the adoption and implementation of EMRs in other health facilities in Saudi Arabia. This study included nurses from Hail General Hospital, Maternity and Children Hospital, King Khalid Hospital, and Hail General Hospital. Study results indicate that perceived usefulness and ease of use are strongly correlated, resulting in nurses' greater acceptance of EMRs. According to the study results, nurses are willing to use EMRs. Our result shows that overall, nurses find the EMR useful in their jobs, with 40.9% agreeing and 24.4% strongly agreeing. Whereas the overall easiness was 9.4% agreed and 24 strongly agreed. Nurses need to be prepared for a demanding workplace through their nursing curriculum. Nursing students and professionals should understand the importance of EMRs in ensuring high-quality, effective, and efficient patient care. It is imperative that nurses continuously improve their computer skills to keep up with technological advancements.

Self -medication, the unsupervised use of drugs, is a common global behavior with potential adverse health outcomes. This study explores the prevalence and patterns of self -medication in Saudi Arabia, focusing on factors such as drug availability, economic constraints, and public trust in healthcare systems. Particular emphasis is placed on self -medication with antibiotics and prescription drugs due to their significant public health risks. Our comprehensive, quantitative, cross-sectional study surveyed 1,671 individuals across Saudi Arabia's diverse regions. We found that 75.5% of respondents engaged in self -medication, primarily on an occasional basis. While 59.8% of participants perceived self -medication as safe, 17.5% reported experiencing adverse effects. Respondents strongly advocated for increased regulatory measures (87.7%) and a pressing need for enhanced public education (92.6%) to address the associated risks. The study highlights the widespread practice of self -medication in Saudi Arabia, influenced by various factors, and underscores the need for targeted health policies and educational campaigns to mitigate these risks.

Introduction The integration of digital health and health informatics into medical education is essential for preparing future healthcare professionals in the rapidly evolving healthcare landscape. Digital health encompasses various technologies, including electronic health records, telemedicine, mobile health applications, and data analytics, all transforming healthcare delivery and management. Health informatics focuses on the efficient use of information technology to support and improve healthcare services. This study aims to analyze the extent to which digital health and health informatics are integrated into the study plans of medical colleges across Saudi Arabia, in alignment with the national goals outlined in Vision 2030. Methods A document analysis methodology was employed to review study plans and curricula from a purposive sample of medical colleges in Saudi Arabia. The sample included both public and private institutions such as King Abdul Aziz University, University of Bisha, Dar Al Uloom University, and Princess Nourah bint Abdulrahman University. Data were collected from official university websites, academic catalogs, and through direct communication with university departments. Key information regarding course offerings, credit hours, course content, and objectives related to digital health and health informatics was extracted and recorded in a structured format. Results The analysis revealed that only a few medical colleges in Saudi Arabia have integrated dedicated courses on digital health and health informatics into their curricula. For instance, Dar Al Uloom University, Princess Nourah bint Abdulrahman University, and University of Hail offer specific courses on medical informatics. However, the majority of the institutions either lack such courses or offer them in a limited capacity. The extent and depth of coverage of these courses vary widely among the institutions that offer them. Conclusion The study highlights the need for a more standardized and comprehensive approach to integrating digital health and health informatics into the medical curricula of Saudi Arabian universities. Recommendations include expanding course offerings, developing standardized curricula, investing in faculty development, and utilizing advanced technologies. Addressing these gaps will better prepare medical graduates for the modern, technology-driven healthcare environment and align with the national objectives of Vision 2030.

Background In the era of rapid digital advancement, the confidentiality and privacy of digital health and medical data have become paramount concerns. This study investigates the perspectives of individuals residing in Hail City regarding these critical issues, with a particular emphasis on the influence of demographic factors such as age, gender, and computer proficiency on individuals' discomfort with health professionals using computers and their trust in researchers. Gaining a deeper understanding of these factors is vital for the development of targeted interventions aimed at enhancing patient comfort and trust in digital health/medical technologies. Methodology This study employed a descriptive cross-sectional design, involving a survey of 775 individuals aged 18 and above in Hail City. The questionnaire was designed to gather information on participants' demographic characteristics, computer proficiency, experiences with digital health and medical information, and perceptions of health information safety and privacy. To examine the associations and predictive relationships between variables, chi-square tests, correlation analyses, and logistic regression were performed. Results Significant associations were found between gender and discomfort with health professionals using computers (chi-square = 60.29, p < 0.0001), and between age and trust in researchers regarding the privacy of medical information (chi-square = 50.14, p < 0.0001). Positive correlations were observed between computer proficiency and perception of health information safety (r = 0.12, p = 0.0002), while a negative correlation was found between computer ownership and avoidance of medical tests due to privacy concerns (r = -0.08, p = 0.03). Logistic regression analysis identified age, gender, and computer proficiency as significant predictors of discomfort with health professionals using computers. The findings highlight the crucial role that demographic factors play in shaping attitudes toward the privacy and security of digital health and medical information. Conclusions The findings of this study highlight the crucial role that demographic factors play in shaping attitudes toward the privacy and security of digital health and medical information. Gender and age were found to significantly influence individuals' levels of discomfort and trust, while computer proficiency was shown to enhance perceptions of safety. Based on these findings, the researchers recommend implementing targeted interventions, such as gender-sensitive training programs and initiatives, to enhance digital literacy and improve patient comfort and trust in digital health technologies.