Background: Artificial Intelligence (AI) applications are widely researched for their potential in effectively improving the healthcare operations and disease management. However, the research trend shows that these applications also have significant negative implications on the service delivery. Purpose: To assess the use of ChatGPT for mental health support. Methods: Due to the novelty and unfamiliarity of the ChatGPT technology, a quasi-experimental design was chosen for this study. Outpatients from a public hospital were included in the sample. A two-week experiment followed by semi-structured interviews was conducted in which participants used ChatGPT for mental health support. Semi-structured interviews were conducted with 24 individuals with mental health conditions. Results: Eight positive factors (psychoeducation, emotional support, goal setting and motivation, referral and resource information, self-assessment and monitoring, cognitive behavioral therapy, crisis interventions, and psychotherapeutic exercises) and four negative factors (ethical and legal considerations, accuracy and reliability, limited assessment capabilities, and cultural and linguistic considerations) were associated with the use of ChatGPT for mental health support. Conclusion: It is important to carefully consider the ethical, reliability, accuracy, and legal challenges and develop appropriate strategies to mitigate them in order to ensure safe and effective use of AI-based applications like ChatGPT in mental health support.

Background and Aim: This study explores the key challenges affecting the healthcare system in Saudi Arabia as it strives to achieve the objectives of Vision 2030. Unlike previous research, which has primarily focused on policy and structural reforms, this study provides empirical insights from healthcare workers, offering a frontline perspective on the barriers to effective healthcare transformation. Methods: A cross-sectional survey was conducted among 383 healthcare professionals from public and private hospitals. The questionnaire covered challenges related to capacity and infrastructure, workforce shortages, digital transformation, preventive healthcare, coordination and integration, healthcare financing, public awareness, quality of care, and disease prevention. Data were analyzed using descriptive statistics, t-tests, and ANOVA to assess variations in perceptions based on professional roles, work experience, gender, and hospital type. Results: The findings reveal workforce shortages, infrastructure limitations, and digital transformation gaps as the most pressing concerns. Notable differences in perceptions highlight the need for tailored interventions across different healthcare roles and settings. Addressing these challenges requires strategic workforce planning, investment in infrastructure, digital innovation, and sustainable financing models. Conclusion: This study contributes to the literature by offering evidence-based recommendations for policymakers and healthcare administrators, aligning healthcare system improvements with Vision 2030 objectives. The insights provided can help shape targeted strategies to enhance healthcare efficiency, accessibility, and resilience in Saudi Arabia.

Purpose: The objective of this study was to compare the strategies adopted by the United Kingdom, Italy, China, India, and Saudi Arabia to contain the spread of the COVID-19 pandemic. Materials and Methods: A review of the literature was carried out to collect data on the strategies used by China, Italy, India, the United Kingdom, and Saudi Arabia to contain the spread of the COVID-19 virus. The global analysis of 65 published literature references allowed observing the effectiveness and efficiency of the strategies used by these countries to control the spread of the COVID-19 virus. Results: Both mitigation and suppression strategies were adopted by the United Kingdom, India, Italy, China, and Saudi Arabia to control the spread of the COVID-19 pandemic. It was observed that China has achieved a greater success in flattening the curve compared to the other countries. In China, few new daily cases have occurred since March, and it has been the only country that has managed to keep the COVID-19 pandemic under control. On the other hand, reductions in the number of daily cases (since May 2020) were detected in the United Kingdom, Italy, and Saudi Arabia (since July 2020). Also, during the last 3 months (June, July and August) India has shown the highest growth in the total number of confirmed cases and in the number of new daily cases, compared to the mentioned countries. Conclusion: The review of the strategies adopted by China, India, the United Kingdom, Italy and Saudi Arabia to combat the COVID-19 pandemic can guide countries in the design and development of mitigation and suppression approaches to control the spread of the COVID-19 virus. Containment strategies such as lockdowns cannot continue in the long term. Therefore, countries must adopt mitigation and prevention strategies to protect people from infection and learn to live with the virus.

Background: The Saudi government is trying to implement the e-health system throughout Saudi Arabia to promote accessible health services for its population. However, adoption of the e-health system has not been effective. Thus the objective of this study was to investigate the factors that influence the adoption of e-health in this country. Methods: To carry out this research, a questionnaire was designed to obtain information on how people in Saudi Arabia use the e-health system and the problems they face when using this technology. The questionnaire was initially viewed by 438 people and 130 of them answered the survey. Results: The results of this research on the adoption of the e-health system in Saudi Arabia indicated that the main factors preventing the implementation of this system were mainly related to the lack of a relationship between doctors and patients, fears about the possibility of violating data privacy and a lack of government regulations. In addition, there are certain demographic factors such as age, gender, residence, income, education and culture that create obstacles in the adoption of the e-health system. Conclusions: This study suggests that professionals should contribute to modifying the e-health system and adding more government regulatory bodies to increase adoption. This will encourage end-users to trust the system. By modifying existing strategies, the results of this study can contribute to the successful implementation of the e-health system in Saudi Arabia.

Background: The objective of this study was to investigate the knowledge and attitudes of Saudi Arabian citizens towards telemedicine during the coronavirus disease 2019 (COVID-19) pandemic.Methods: A cross-sectional survey was designed to carry out this study. The electronic survey, prepared using Google Forms, was distributed to 1500 randomly selected citizens of Saudi Arabia. A total of 330 participants completed and returned the questionnaire. Basic statistics were used to describe the data.Results: The majority of the respondents (73.9%) were female. More than half of them (54.8%) were >35 y of age and had graduate or postgraduate degrees (65.5%). A total of 96.7% of the respondents were Saudis. Most of the participants (70.0%) were familiar with the term ‘telemedicine’ and thought that telemedicine (92.1%) could reduce transportation costs. Of the respondents, 58.8% had not seen a telemedicine system before and 67.0% indicated that they had not previously used telemedicine services. A total of 87.3% of the participants agreed or strongly agreed that telemedicine was a useful tool during the COVID-19 pandemic. Also, more than half of the participants agreed or strongly agreed that telemedicine facilitates the diagnosis of people (58.8%), increases communication (58.2%), reduces clinic visits (85.9%) and performs tasks quickly (70.3%). Also, 51.5% of the respondents disagreed or strongly disagreed that telemedicine affects patient privacy.Conclusions: The outcomes indicated that most of the participants had a positive attitude towards the use of telemedicine as a response to the COVID-19 pandemic in Saudi Arabia. They believed that telemedicine saves time, labour and costs and is an effective tool to treat coronavirus patients at a safe distance. However, the government should develop programs to raise awareness in the population about the use of telemedicine for the treatment of various diseases that afflict the Saudi Arabian people. Likewise, a legal framework must be implemented to protect the privacy of patients and healthcare providers.

Purpose: This study aims to investigate the opportunities and challenges of adopting ChatGPT in medical research.Methods: A qualitative approach with focus groups is adopted in this study. A total of 62 participants including academic researchers from different streams in medicine and eHealth, participated in this study.Results: A total of five themes with 16 sub-themes related to the opportunities; and a total of five themes with 12 sub-themes related to the challenges were identified. The major opportunities include improved data collection and analysis, improved communication and accessibility, and support for researchers in multiple streams of medical research. The major challenges identified were limitations of training data leading to bias, ethical issues, technical limitations, and limitations in data collection and analysis.Conclusion: Although ChatGPT can be used as a potential tool in medical research, there is a need for further evidence to generalize its impact on the different research activities.