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Browsing by Author "Al-Eyadhy, Lama"
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Item 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 MedicineThis 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.Item 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 MedicineBackground: 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.