Browsing by Author "Al-Eyadhy, Lama"

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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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    COVID-19 Delta Variant: Perceptions, Worries, and Vaccine-Booster Acceptability among Healthcare Workers
    (MDPI, 2021-11) Alhasan, Khalid; Aljamaan, Fadi; Temsah, Mohamad-Hani; Alshahrani, Fatimah; Bassrawi, Rolan; Alhaboob, Ali; Assiri, Rasha; Alenezi, Shuliweeh; Alaraj, Ali; Alhomoudi, Reham I.; Batais, Mohammed A.; Al-Eyadhy, Lama; Halwani, Rabih; AbdulMajeed, Naif; Al-Jedai, Ahmed; Senjab, Abdulrahman; Memish, Ziad A.; Al-Subaie, Sarah; Barry, Mazin; Al-Tawfiq, Jaffar A.; Medicine, School of Medicine
    Background: As the COVID-19 Delta variant has spread across the globe, healthcare workers’ (HCWs) knowledge, worries, and vaccine booster acceptance should be assessed. Methods: Online questionnaires aimed at HCWs in Saudi Arabia were distributed between 9 and 12 August 2021, aiming to evaluate HCWs’ perceptions and worries about the Delta variant as well as their feelings about receiving a booster-vaccine. Results: A total of 1279 HCWs participated, with 51.1% being physicians and 41.7% nurses. 92.5% were aware of the emergence of the Delta variant. Still, only 28.7% were found to have sufficient knowledge of the variant, and their level of worry about it was higher than their level of worry about the Alpha variant (2.32/5 versus 1.79/5). The main information sources cited by the participants were social media (50.5%), while 30.5% used scientific journals. Overall, 55.3% were willing to receive a vaccine booster, while one third would have preferred to receive a new mRNA vaccine specifically developed for the Delta variant. Factors associated with vaccine booster acceptance were receiving both vaccination doses (p = 0.008), believing that the Pfizer-BioNTech BNT162b2 vaccine is effective against variants (p < 0.001), and agreement that mixing/matching vaccines is effective against variants (p < 0.001). Conclusions: A high percentage of HCWs were aware of the Delta variant, but only a small fraction had decent quality of knowledge about it. The participants exhibited high worry levels and showed a modest acceptance of receiving a vaccine booster dose. These results should encourage public health officials to scale up educational efforts to disseminate reliable information about the different variants and provide recommendations about receiving a vaccine booster. Further research on methods to alleviate HCWs’ worries about emerging variants is warranted.
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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.