Perception and Knowledge of Hospital Workers Toward Using Artificial Intelligence: A Descriptive Study

IF 2.1 Q2 MEDICINE, GENERAL & INTERNAL

Health Science Reports Pub Date : 2025-04-30 DOI:10.1002/hsr2.70623

Ahmad R. Al-Qudimat, Mohammad R. Alqudimat, Kalpana Singh, Zainab E. Fares, Mohammed Ismail, Hesham E. Yasin, Raed M. Al-Zoubi, Omar M. Aboumarzouk

{"title":"Perception and Knowledge of Hospital Workers Toward Using Artificial Intelligence: A Descriptive Study","authors":"Ahmad R. Al-Qudimat, Mohammad R. Alqudimat, Kalpana Singh, Zainab E. Fares, Mohammed Ismail, Hesham E. Yasin, Raed M. Al-Zoubi, Omar M. Aboumarzouk","doi":"10.1002/hsr2.70623","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>This study aims to assess the perception and knowledge of hospital workers toward using artificial intelligence (AI) in healthcare in Qatar, exploring the potential implications of AI integration in clinical settings.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>A descriptive cross-sectional study was conducted from January 1, 2023, to January 31, 2024, involving healthcare workers (HCWs) from various departments across four leading hospitals affiliated with Hamad Medical Corporation (HMC) in Qatar. A convenience sampling method was used to recruit participants, and data were collected via an anonymous online questionnaire distributed through email and WhatsApp, with hard copies provided as needed. The questionnaire covered demographic information, perception, and knowledge of AI. The data were analyzed using STATA 17.0, with significance set at <i>p</i> < 0.05.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The study included 902 HCWs, with a gender distribution of 47.6% female and 52.4% male. Most participants were from Asia (50.8%), with 42.7% aged between 35 and 44 years. Most participants were nurses (54.9%), followed by allied health professionals (20.7%), pharmacists (12.2%), and physicians (11.0%). A significant portion of participants (59.8%) reported no prior experience with AI. However, 56.1% felt somewhat comfortable using AI in medical practice, and 72% believed that AI would improve the future of healthcare. Despite this optimism, 81.7% had not yet utilized AI in their practice, though 85.4% expressed a desire to learn more about AI models.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>The study reveals a positive perception and moderate knowledge of AI among HCWs in Qatar. However, the actual use of AI in clinical practice remains limited. There is a clear need for targeted educational programs to enhance AI proficiency and confidence among healthcare professionals, potentially improving patient outcomes and clinical efficiency. Further research should explore the barriers to AI adoption and develop strategies to facilitate its integration into healthcare systems.</p>\n </section>\n </div>","PeriodicalId":36518,"journal":{"name":"Health Science Reports","volume":"8 5","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hsr2.70623","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Science Reports","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/hsr2.70623","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}

引用次数: 0

Abstract

Objective

This study aims to assess the perception and knowledge of hospital workers toward using artificial intelligence (AI) in healthcare in Qatar, exploring the potential implications of AI integration in clinical settings.

Methods

A descriptive cross-sectional study was conducted from January 1, 2023, to January 31, 2024, involving healthcare workers (HCWs) from various departments across four leading hospitals affiliated with Hamad Medical Corporation (HMC) in Qatar. A convenience sampling method was used to recruit participants, and data were collected via an anonymous online questionnaire distributed through email and WhatsApp, with hard copies provided as needed. The questionnaire covered demographic information, perception, and knowledge of AI. The data were analyzed using STATA 17.0, with significance set at p < 0.05.

Results

The study included 902 HCWs, with a gender distribution of 47.6% female and 52.4% male. Most participants were from Asia (50.8%), with 42.7% aged between 35 and 44 years. Most participants were nurses (54.9%), followed by allied health professionals (20.7%), pharmacists (12.2%), and physicians (11.0%). A significant portion of participants (59.8%) reported no prior experience with AI. However, 56.1% felt somewhat comfortable using AI in medical practice, and 72% believed that AI would improve the future of healthcare. Despite this optimism, 81.7% had not yet utilized AI in their practice, though 85.4% expressed a desire to learn more about AI models.

Conclusion

The study reveals a positive perception and moderate knowledge of AI among HCWs in Qatar. However, the actual use of AI in clinical practice remains limited. There is a clear need for targeted educational programs to enhance AI proficiency and confidence among healthcare professionals, potentially improving patient outcomes and clinical efficiency. Further research should explore the barriers to AI adoption and develop strategies to facilitate its integration into healthcare systems.

Abstract Image

查看原文本刊更多论文

医院工作人员对人工智能的认知与认知：一项描述性研究

目的本研究旨在评估卡塔尔医院工作人员对在医疗保健中使用人工智能（AI）的认知和知识，探讨人工智能在临床环境中的潜在影响。方法采用描述性横断面研究，于2023年1月1日至2024年1月31日对卡塔尔哈马德医疗公司（HMC）下属四家主要医院各科室的医护人员进行研究。采用方便抽样方法招募参与者，通过电子邮件和WhatsApp发送匿名在线问卷收集数据，并根据需要提供硬拷贝。调查问卷涵盖了人口统计信息、对人工智能的认知和知识。数据采用STATA 17.0进行分析，p <； 0.05为显著性。结果共纳入902名医护人员，性别分布中女性占47.6%，男性占52.4%。大多数参与者来自亚洲（50.8%），其中42.7%的人年龄在35至44岁之间。大多数参与者是护士（54.9%），其次是专职卫生专业人员（20.7%）、药剂师（12.2%）和医生（11.0%）。很大一部分参与者（59.8%）表示之前没有人工智能的经验。然而，56.1%的人对在医疗实践中使用人工智能感到满意，72%的人认为人工智能将改善医疗保健的未来。尽管如此乐观，81.7%的人尚未在实践中使用人工智能，尽管85.4%的人表示希望更多地了解人工智能模型。结论本研究揭示了卡塔尔卫生保健工作者对人工智能的积极认知和适度认知。然而，人工智能在临床实践中的实际应用仍然有限。显然需要有针对性的教育计划，以提高医疗保健专业人员对人工智能的熟练程度和信心，从而潜在地改善患者的治疗结果和临床效率。进一步的研究应该探索人工智能采用的障碍，并制定战略，以促进其融入医疗保健系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊