Mohammed Al Harbi, Ahmed Alotaibi, Amal Alanazi, Fatimah Alsughayir, Deema Alharbi, Ahmad Bin Qassim, Talal Alkhwaiter, Lafi Olayan, Manal Al Zaid, Mohmad Alsabani
{"title":"沙特阿拉伯麻醉学相关实践中的人工智能应用前景：对医生观点的横断面研究","authors":"Mohammed Al Harbi, Ahmed Alotaibi, Amal Alanazi, Fatimah Alsughayir, Deema Alharbi, Ahmad Bin Qassim, Talal Alkhwaiter, Lafi Olayan, Manal Al Zaid, Mohmad Alsabani","doi":"10.1002/hsr2.70099","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background and Aims</h3>\n \n <p>The use of Artificial Intelligence (AI) relies on computer science and large datasets, with the technology mimicking human intelligence as it makes logical decisions. This study aims to assess the perceptions and experiences of anesthesiology practitioners toward AI and identify its benefits to healthcare professionals and patients, along with current and future applications of AI.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This cross-sectional descriptive online survey study was disseminated to physicians who work in anesthesiology practice in Saudi Arabia. Descriptive statistics were used to report the characteristics of the respondents and summarize the results of the survey.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>There were 109 responses, with 85.32% being male, 35.78% being aged 40–49 years, and 69.72% being consultant anesthesiologists. The majority of participants (73.39%) believed that AI could be used in multiple settings related to anesthesiology practice. Participants also believed that AI could facilitate access to data (76.15%), enable precise decision-making (75.23%), reduce medical errors (55.04%), reduce workload and shortage of healthcare personnel (53.21%), and allow healthcare personnel to focus on more demanding cases (69.72%). In addition, the majority of participants believed that AI can be beneficial to patients, in which 69.72% believed that AI can improve patient access to care, 77.06% believed that AI can facilitate patient education, and 65.14% believed that AI can guide patients during treatment. Lastly, 70.64% believed that AI would be beneficial to anesthesiology practices in the future. However, 61.47% claimed that their workplace has no plan for adopting AI.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>The anesthesiologists showed generally positive attitudes towards AI, in spite of its limited utilization and implementation challenges. Strong beliefs exist about AI's future potential in anesthesia care and postgraduate education.</p>\n </section>\n </div>","PeriodicalId":36518,"journal":{"name":"Health Science Reports","volume":"7 10","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hsr2.70099","citationCount":"0","resultStr":"{\"title\":\"Perspectives toward the application of Artificial Intelligence in anesthesiology-related practices in Saudi Arabia: A cross-sectional study of physicians views\",\"authors\":\"Mohammed Al Harbi, Ahmed Alotaibi, Amal Alanazi, Fatimah Alsughayir, Deema Alharbi, Ahmad Bin Qassim, Talal Alkhwaiter, Lafi Olayan, Manal Al Zaid, Mohmad Alsabani\",\"doi\":\"10.1002/hsr2.70099\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background and Aims</h3>\\n \\n <p>The use of Artificial Intelligence (AI) relies on computer science and large datasets, with the technology mimicking human intelligence as it makes logical decisions. This study aims to assess the perceptions and experiences of anesthesiology practitioners toward AI and identify its benefits to healthcare professionals and patients, along with current and future applications of AI.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>This cross-sectional descriptive online survey study was disseminated to physicians who work in anesthesiology practice in Saudi Arabia. Descriptive statistics were used to report the characteristics of the respondents and summarize the results of the survey.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>There were 109 responses, with 85.32% being male, 35.78% being aged 40–49 years, and 69.72% being consultant anesthesiologists. The majority of participants (73.39%) believed that AI could be used in multiple settings related to anesthesiology practice. Participants also believed that AI could facilitate access to data (76.15%), enable precise decision-making (75.23%), reduce medical errors (55.04%), reduce workload and shortage of healthcare personnel (53.21%), and allow healthcare personnel to focus on more demanding cases (69.72%). In addition, the majority of participants believed that AI can be beneficial to patients, in which 69.72% believed that AI can improve patient access to care, 77.06% believed that AI can facilitate patient education, and 65.14% believed that AI can guide patients during treatment. Lastly, 70.64% believed that AI would be beneficial to anesthesiology practices in the future. However, 61.47% claimed that their workplace has no plan for adopting AI.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>The anesthesiologists showed generally positive attitudes towards AI, in spite of its limited utilization and implementation challenges. Strong beliefs exist about AI's future potential in anesthesia care and postgraduate education.</p>\\n </section>\\n </div>\",\"PeriodicalId\":36518,\"journal\":{\"name\":\"Health Science Reports\",\"volume\":\"7 10\",\"pages\":\"\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hsr2.70099\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Health Science Reports\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/hsr2.70099\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Science Reports","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/hsr2.70099","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
Perspectives toward the application of Artificial Intelligence in anesthesiology-related practices in Saudi Arabia: A cross-sectional study of physicians views
Background and Aims
The use of Artificial Intelligence (AI) relies on computer science and large datasets, with the technology mimicking human intelligence as it makes logical decisions. This study aims to assess the perceptions and experiences of anesthesiology practitioners toward AI and identify its benefits to healthcare professionals and patients, along with current and future applications of AI.
Methods
This cross-sectional descriptive online survey study was disseminated to physicians who work in anesthesiology practice in Saudi Arabia. Descriptive statistics were used to report the characteristics of the respondents and summarize the results of the survey.
Results
There were 109 responses, with 85.32% being male, 35.78% being aged 40–49 years, and 69.72% being consultant anesthesiologists. The majority of participants (73.39%) believed that AI could be used in multiple settings related to anesthesiology practice. Participants also believed that AI could facilitate access to data (76.15%), enable precise decision-making (75.23%), reduce medical errors (55.04%), reduce workload and shortage of healthcare personnel (53.21%), and allow healthcare personnel to focus on more demanding cases (69.72%). In addition, the majority of participants believed that AI can be beneficial to patients, in which 69.72% believed that AI can improve patient access to care, 77.06% believed that AI can facilitate patient education, and 65.14% believed that AI can guide patients during treatment. Lastly, 70.64% believed that AI would be beneficial to anesthesiology practices in the future. However, 61.47% claimed that their workplace has no plan for adopting AI.
Conclusions
The anesthesiologists showed generally positive attitudes towards AI, in spite of its limited utilization and implementation challenges. Strong beliefs exist about AI's future potential in anesthesia care and postgraduate education.
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