Abdulaziz R Alsaedi, Nada Alneami, Fahad Almajnoni, Ohoud Alamri, Khulud Aljohni, Maha K Alrwaily, Meshal Eid, Abdulaziz Budayr, Maram A Alrehaili, Marha M Alghamdi, Eqab D Almutairi, Mohammed H Eid
{"title":"Perceived Worries in the Adoption of Artificial Intelligence Among Healthcare Professionals in Saudi Arabia: A Cross-Sectional Survey Study.","authors":"Abdulaziz R Alsaedi, Nada Alneami, Fahad Almajnoni, Ohoud Alamri, Khulud Aljohni, Maha K Alrwaily, Meshal Eid, Abdulaziz Budayr, Maram A Alrehaili, Marha M Alghamdi, Eqab D Almutairi, Mohammed H Eid","doi":"10.3390/nursrep14040271","DOIUrl":null,"url":null,"abstract":"<p><p>The use of AI in the healthcare sector is facing some formidable concerns raised by the practitioners themselves. This study aimed to establish the concerns that surround the adoption of AI among Saudi Arabian healthcare professionals. Materials and methods: This was a cross-sectional study using stratified convenience sampling from September to November 2024 across health facilities. This study included all licensed healthcare professionals practicing for at least one year, whereas interns and administrative staff were excluded from the research. Data collection was conducted through a 33-item validated questionnaire that was provided in paper form and online. The questionnaire measured AI awareness with eight items, past experience with five items, and concerns in four domains represented by 20 items. Four hundred questionnaires were distributed, and the response rate was 78.5% (<i>n</i> = 314). The majority of the participants were females (52.5%), Saudis (89.2%), and employees of MOH (77.1%). The mean age for the participants was 35.6 ± 7.8 years. Quantitative analysis revealed high AI awareness scores with a mean of 3.96 ± 0.167, <i>p</i> < 0.001, and low previous experience scores with a mean of 2.65 ± 0.292. Data management-related worries came out as the top worry, with a mean of 3.78 ± 0.259, while the poor data entry impact topped with a mean of 4.15 ± 0.801; healthcare provider-related worries with a mean of 3.71 ± 0.182; and regulation/ethics-related worries with a mean of 3.67 ± 0.145. Health professionals' main concerns about AI adoption were related to data reliability and impacts on clinical decision-making, which significantly hindered successful AI integration in healthcare. These are the particular concerns that, if addressed through robust data management protocols and enhanced processes for clinical validation, will afford the best implementation of AI technology in an optimized way to bring better quality and safety to healthcare. Quantitative validation of AI outcomes and the development of standardized integration frameworks are subjects for future research.</p>","PeriodicalId":40753,"journal":{"name":"Nursing Reports","volume":"14 4","pages":"3706-3721"},"PeriodicalIF":2.4000,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11677610/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nursing Reports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/nursrep14040271","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NURSING","Score":null,"Total":0}
引用次数: 0
Abstract
The use of AI in the healthcare sector is facing some formidable concerns raised by the practitioners themselves. This study aimed to establish the concerns that surround the adoption of AI among Saudi Arabian healthcare professionals. Materials and methods: This was a cross-sectional study using stratified convenience sampling from September to November 2024 across health facilities. This study included all licensed healthcare professionals practicing for at least one year, whereas interns and administrative staff were excluded from the research. Data collection was conducted through a 33-item validated questionnaire that was provided in paper form and online. The questionnaire measured AI awareness with eight items, past experience with five items, and concerns in four domains represented by 20 items. Four hundred questionnaires were distributed, and the response rate was 78.5% (n = 314). The majority of the participants were females (52.5%), Saudis (89.2%), and employees of MOH (77.1%). The mean age for the participants was 35.6 ± 7.8 years. Quantitative analysis revealed high AI awareness scores with a mean of 3.96 ± 0.167, p < 0.001, and low previous experience scores with a mean of 2.65 ± 0.292. Data management-related worries came out as the top worry, with a mean of 3.78 ± 0.259, while the poor data entry impact topped with a mean of 4.15 ± 0.801; healthcare provider-related worries with a mean of 3.71 ± 0.182; and regulation/ethics-related worries with a mean of 3.67 ± 0.145. Health professionals' main concerns about AI adoption were related to data reliability and impacts on clinical decision-making, which significantly hindered successful AI integration in healthcare. These are the particular concerns that, if addressed through robust data management protocols and enhanced processes for clinical validation, will afford the best implementation of AI technology in an optimized way to bring better quality and safety to healthcare. Quantitative validation of AI outcomes and the development of standardized integration frameworks are subjects for future research.
期刊介绍：
Nursing Reports is an open access, peer-reviewed, online-only journal that aims to influence the art and science of nursing by making rigorously conducted research accessible and understood to the full spectrum of practicing nurses, academics, educators and interested members of the public. The journal represents an exhilarating opportunity to make a unique and significant contribution to nursing and the wider community by addressing topics, theories and issues that concern the whole field of Nursing Science, including research, practice, policy and education. The primary intent of the journal is to present scientifically sound and influential empirical and theoretical studies, critical reviews and open debates to the global community of nurses. Short reports, opinions and insight into the plight of nurses the world-over will provide a voice for those of all cultures, governments and perspectives. The emphasis of Nursing Reports will be on ensuring that the highest quality of evidence and contribution is made available to the greatest number of nurses. Nursing Reports aims to make original, evidence-based, peer-reviewed research available to the global community of nurses and to interested members of the public. In addition, reviews of the literature, open debates on professional issues and short reports from around the world are invited to contribute to our vibrant and dynamic journal. All published work will adhere to the most stringent ethical standards and journalistic principles of fairness, worth and credibility. Our journal publishes Editorials, Original Articles, Review articles, Critical Debates, Short Reports from Around the Globe and Letters to the Editor.
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