Browsing by Author "Altamimi, Ibraheem"

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    ChatGPT and the Future of Digital Health: A Study on Healthcare Workers' Perceptions and Expectations
    (MDPI, 2023-06-21) Temsah, Mohamad-Hani; Aljamaan, Fadi; Malki, Khalid H.; Alhasan, Khalid; Altamimi, Ibraheem; Aljarbou, Razan; Bazuhair, Faisal; Alsubaihin, Abdulmajeed; Abdulmajeed, Naif; Alshahrani, Fatimah S.; Temsah, Reem; Alshahrani, Turki; Al-Eyadhy, Lama; Alkhateeb, Serin Mohammed; Saddik, Basema; Halwani, Rabih; Jamal, Amr; Al-Tawfiq, Jaffar A.; Al-Eyadhy, Ayman; Medicine, School of Medicine
    This study aimed to assess the knowledge, attitudes, and intended practices of healthcare workers (HCWs) in Saudi Arabia towards ChatGPT, an artificial intelligence (AI) Chatbot, within the first three months after its launch. We also aimed to identify potential barriers to AI Chatbot adoption among healthcare professionals. A cross-sectional survey was conducted among 1057 HCWs in Saudi Arabia, distributed electronically via social media channels from 21 February to 6 March 2023. The survey evaluated HCWs' familiarity with ChatGPT-3.5, their satisfaction, intended future use, and perceived usefulness in healthcare practice. Of the respondents, 18.4% had used ChatGPT for healthcare purposes, while 84.1% of non-users expressed interest in utilizing AI Chatbots in the future. Most participants (75.1%) were comfortable with incorporating ChatGPT into their healthcare practice. HCWs perceived the Chatbot to be useful in various aspects of healthcare, such as medical decision-making (39.5%), patient and family support (44.7%), medical literature appraisal (48.5%), and medical research assistance (65.9%). A majority (76.7%) believed ChatGPT could positively impact the future of healthcare systems. Nevertheless, concerns about credibility and the source of information provided by AI Chatbots (46.9%) were identified as the main barriers. Although HCWs recognize ChatGPT as a valuable addition to digital health in the early stages of adoption, addressing concerns regarding accuracy, reliability, and medicolegal implications is crucial. Therefore, due to their unreliability, the current forms of ChatGPT and other Chatbots should not be used for diagnostic or treatment purposes without human expert oversight. Ensuring the trustworthiness and dependability of AI Chatbots is essential for successful implementation in healthcare settings. Future research should focus on evaluating the clinical outcomes of ChatGPT and benchmarking its performance against other AI Chatbots.
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    ChatGPT-3.5 System Usability Scale early assessment among Healthcare Workers: Horizons of adoption in medical practice
    (Elsevier, 2024-04-07) Aljamaan, Fadi; Malki, Khalid H.; Alhasan, Khalid; Jamal, Amr; Altamimi, Ibraheem; Khayat, Afnan; Alhaboob, Ali; Abdulmajeed, Naif; Alshahrani, Fatimah S.; Saad, Khaled; Al-Eyadhy, Ayman; Al-Tawfiq, Jaffar A.; Temsah, Mohamad-Hani; Medicine, School of Medicine
    Artificial intelligence (AI) chatbots, such as ChatGPT, have widely invaded all domains of human life. They have the potential to transform healthcare future. However, their effective implementation hinges on healthcare workers' (HCWs) adoption and perceptions. This study aimed to evaluate HCWs usability of ChatGPT three months post-launch in Saudi Arabia using the System Usability Scale (SUS). A total of 194 HCWs participated in the survey. Forty-seven percent were satisfied with their usage, 57 % expressed moderate to high trust in its ability to generate medical decisions. 58 % expected ChatGPT would improve patients' outcomes, even though 84 % were optimistic of its potential to improve the future of healthcare practice. They expressed possible concerns like recommending harmful medical decisions and medicolegal implications. The overall mean SUS score was 64.52, equivalent to 50 % percentile rank, indicating high marginal acceptability of the system. The strongest positive predictors of high SUS scores were participants' belief in AI chatbot's benefits in medical research, self-rated familiarity with ChatGPT and self-rated computer skills proficiency. Participants' learnability and ease of use score correlated positively but weakly. On the other hand, medical students and interns had significantly high learnability scores compared to others, while ease of use scores correlated very strongly with participants' perception of positive impact of ChatGPT on the future of healthcare practice. Our findings highlight the HCWs' perceived marginal acceptance of ChatGPT at the current stage and their optimism of its potential in supporting them in future practice, especially in the research domain, in addition to humble ambition of its potential to improve patients' outcomes particularly in regard of medical decisions. On the other end, it underscores the need for ongoing efforts to build trust and address ethical and legal concerns of AI implications in healthcare. The study contributes to the growing body of literature on AI chatbots in healthcare, especially addressing its future improvement strategies and provides insights for policymakers and healthcare providers about the potential benefits and challenges of implementing them in their practice.
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    Perceptions and Earliest Experiences of Medical Students and Faculty With ChatGPT in Medical Education: Qualitative Study
    (JMIR, 2025-02-20) Abouammoh, Noura; Alhasan, Khalid; Aljamaan, Fadi; Raina, Rupesh; Malki, Khalid H.; Altamimi, Ibraheem; Muaygil, Ruaim; Wahabi, Hayfaa; Jamal, Amr; Alhaboob, Ali; Assad Assiri, Rasha; Al-Tawfiq, Jaffar A.; Al-Eyadhy, Ayman; Soliman, Mona; Temsah, Mohamad-Hani; Medicine, School of Medicine
    Background: With the rapid development of artificial intelligence technologies, there is a growing interest in the potential use of artificial intelligence-based tools like ChatGPT in medical education. However, there is limited research on the initial perceptions and experiences of faculty and students with ChatGPT, particularly in Saudi Arabia. Objective: This study aimed to explore the earliest knowledge, perceived benefits, concerns, and limitations of using ChatGPT in medical education among faculty and students at a leading Saudi Arabian university. Methods: A qualitative exploratory study was conducted in April 2023, involving focused meetings with medical faculty and students with varying levels of ChatGPT experience. A thematic analysis was used to identify key themes and subthemes emerging from the discussions. Results: Participants demonstrated good knowledge of ChatGPT and its functions. The main themes were perceptions of ChatGPT use, potential benefits, and concerns about ChatGPT in research and medical education. The perceived benefits included collecting and summarizing information and saving time and effort. However, concerns and limitations centered around the potential lack of critical thinking in the information provided, the ambiguity of references, limitations of access, trust in the output of ChatGPT, and ethical concerns. Conclusions: This study provides valuable insights into the perceptions and experiences of medical faculty and students regarding the use of newly introduced large language models like ChatGPT in medical education. While the benefits of ChatGPT were recognized, participants also expressed concerns and limitations requiring further studies for effective integration into medical education, exploring the impact of ChatGPT on learning outcomes, student and faculty satisfaction, and the development of critical thinking skills.
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    Public knowledge of food poisoning, risk perception and food safety practices in Saudi Arabia: A cross-sectional survey following foodborne botulism outbreak
    (Wolters Kluwer, 2025) Alhuzaimi, Abdullah; Aljamaan, Fadi; Al-Ajwad, Fatema H.; Alabdulkareem, Wejdan; Alshahrani, Fatimah S.; Altamimi, Ibraheem; Al-Eyadhy, Lama; Bukhari, Abdullah; BinOmair, Alanoud; Al-Subaie, Sarah; Shayah, Yamen; Alhaboob, Ali; Alanteet, Alaa A.; Alanteet, Abeer; Alharbi, Mohammad; Jamal, Amr; Barry, Mazin; Assiri, Rasha Assad; Alhasan, Khalid; Al-Tawfiq, Jaffar A.; Temsah, Mohamad-Hani; Medicine, School of Medicine
    To investigate food poisoning knowledge, risk perception and safe food handling practices among Saudi Arabian public following foodborne botulism outbreak. A cross-sectional survey targeting the Saudi Arabian public between May 6 to 20, 2024, following the first foodborne botulism outbreak. Infectious disease and public health experts developed survey questions according to Saudi Public Health Authority and Ministry of Health (MOH) guidelines, and distributed surveys through social media. Of 3779 participants, 73.1% were female and 50.1% were aged 18 to 24 years. Almost one-third (30.2%) reported a previous food poisoning experience, with an incidence of 71.7 cases per 1000 person years. The most common perceived source of FP was restaurants foods (80.3%). The overall knowledge score of the participants regarding food poisoning was 3.42 ± 1.57 out of 7. The mean food safety practice score was 3.70 ± 1.42 out of 9. Multivariable regression analysis showed individuals aged 35 years or older (β = 0.205, P < .001), those who were married (β = 0.204, P = .003), participants with previous (FP) experience (β = 0.089, P = .009), and those who relied on information from the Ministry of Health or medical publications regarding FP (P < .001) exhibited significantly higher practice scores than other groups. The least adherence to safe practices were noted among the following: routine use of thermometer during cooking (2.7%), avoidance of washing raw chicken (13.7%) and washing hands after using cellphone during cooking (26.1%). The FP knowledge score did not correlate significantly with practice score (P = .065). This study highlights the significant knowledge gaps and inadequate food safety practices among the public in Saudi Arabia. Although certain groups, including adults (>35 years), married individuals, and those with previous food poisoning experience, showed greater adherence to safe food handling practices, adherence to specific preventive measures remained generally low. These findings highlight the need for targeted educational initiatives and interventions to improve food safety awareness and practices across diverse demographic groups in Saudi Arabia. The integration of generative AI tools, such as ChatGPT, as a public resource for food poisoning information, presents a new opportunity, but it requires further research and development to ensure accuracy and reliability.