Perception and Knowledge of Hospital Workers Toward Using Artificial Intelligence: A Descriptive Study
<h3>Objective</h3><p dir="ltr">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><h3>Meth...
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| مؤلفون آخرون: | , , , , , , |
| منشور في: |
2025
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إضافة وسم
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| _version_ | 1864513534132486144 |
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| author | Ahmad R. Al‐Qudimat (21348626) |
| author2 | Mohammad R. Alqudimat (18114824) Kalpana Singh (3838960) Zainab E. Fares (17917715) Mohammed Ismail (14506799) Hesham E. Yasin (22501739) Raed M. Al‐Zoubi (21348629) Omar M. Aboumarzouk (14779240) |
| author2_role | author author author author author author author |
| author_facet | Ahmad R. Al‐Qudimat (21348626) Mohammad R. Alqudimat (18114824) Kalpana Singh (3838960) Zainab E. Fares (17917715) Mohammed Ismail (14506799) Hesham E. Yasin (22501739) Raed M. Al‐Zoubi (21348629) Omar M. Aboumarzouk (14779240) |
| author_role | author |
| dc.creator.none.fl_str_mv | Ahmad R. Al‐Qudimat (21348626) Mohammad R. Alqudimat (18114824) Kalpana Singh (3838960) Zainab E. Fares (17917715) Mohammed Ismail (14506799) Hesham E. Yasin (22501739) Raed M. Al‐Zoubi (21348629) Omar M. Aboumarzouk (14779240) |
| dc.date.none.fl_str_mv | 2025-04-30T09:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1002/hsr2.70623 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Perception_and_Knowledge_of_Hospital_Workers_Toward_Using_Artificial_Intelligence_A_Descriptive_Study/30454223 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Education Curriculum and pedagogy Education systems Health sciences Health services and systems Information and computing sciences Artificial intelligence healthcare workers knowledge perception using artificial intelligence |
| dc.title.none.fl_str_mv | Perception and Knowledge of Hospital Workers Toward Using Artificial Intelligence: A Descriptive Study |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <h3>Objective</h3><p dir="ltr">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><h3>Methods</h3><p dir="ltr">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><h3>Results</h3><p dir="ltr">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><h3>Conclusion</h3><p dir="ltr">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><h2>Other Information</h2><p dir="ltr">Published in: Health Science Reports<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1002/hsr2.70623" target="_blank">https://dx.doi.org/10.1002/hsr2.70623</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_cc6f020888d2eb63a9c590f51812e454 |
| identifier_str_mv | 10.1002/hsr2.70623 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/30454223 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Perception and Knowledge of Hospital Workers Toward Using Artificial Intelligence: A Descriptive StudyAhmad R. Al‐Qudimat (21348626)Mohammad R. Alqudimat (18114824)Kalpana Singh (3838960)Zainab E. Fares (17917715)Mohammed Ismail (14506799)Hesham E. Yasin (22501739)Raed M. Al‐Zoubi (21348629)Omar M. Aboumarzouk (14779240)EducationCurriculum and pedagogyEducation systemsHealth sciencesHealth services and systemsInformation and computing sciencesArtificial intelligencehealthcare workersknowledgeperceptionusing artificial intelligence<h3>Objective</h3><p dir="ltr">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><h3>Methods</h3><p dir="ltr">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><h3>Results</h3><p dir="ltr">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><h3>Conclusion</h3><p dir="ltr">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><h2>Other Information</h2><p dir="ltr">Published in: Health Science Reports<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1002/hsr2.70623" target="_blank">https://dx.doi.org/10.1002/hsr2.70623</a></p>2025-04-30T09:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1002/hsr2.70623https://figshare.com/articles/journal_contribution/Perception_and_Knowledge_of_Hospital_Workers_Toward_Using_Artificial_Intelligence_A_Descriptive_Study/30454223CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/304542232025-04-30T09:00:00Z |
| spellingShingle | Perception and Knowledge of Hospital Workers Toward Using Artificial Intelligence: A Descriptive Study Ahmad R. Al‐Qudimat (21348626) Education Curriculum and pedagogy Education systems Health sciences Health services and systems Information and computing sciences Artificial intelligence healthcare workers knowledge perception using artificial intelligence |
| status_str | publishedVersion |
| title | Perception and Knowledge of Hospital Workers Toward Using Artificial Intelligence: A Descriptive Study |
| title_full | Perception and Knowledge of Hospital Workers Toward Using Artificial Intelligence: A Descriptive Study |
| title_fullStr | Perception and Knowledge of Hospital Workers Toward Using Artificial Intelligence: A Descriptive Study |
| title_full_unstemmed | Perception and Knowledge of Hospital Workers Toward Using Artificial Intelligence: A Descriptive Study |
| title_short | Perception and Knowledge of Hospital Workers Toward Using Artificial Intelligence: A Descriptive Study |
| title_sort | Perception and Knowledge of Hospital Workers Toward Using Artificial Intelligence: A Descriptive Study |
| topic | Education Curriculum and pedagogy Education systems Health sciences Health services and systems Information and computing sciences Artificial intelligence healthcare workers knowledge perception using artificial intelligence |