Seda Akutay , Hatice Yüceler Kaçmaz , Hilal Kahraman
{"title":"人工智能支持的病例分析对护理专业学生病例管理绩效和满意度的影响：随机对照试验","authors":"Seda Akutay , Hatice Yüceler Kaçmaz , Hilal Kahraman","doi":"10.1016/j.nepr.2024.104142","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Rapid developments in artificial intelligence have begun to necessitate changes and transformations in nursing education.</p></div><div><h3>Objective</h3><p>This study aimed to evaluate the impact of an artificial intelligence-supported case created in the in-class case analysis lecture for nursing students on students' case management performance and satisfaction.</p></div><div><h3>Design</h3><p>This study was a randomized controlled trial.</p></div><div><h3>Method</h3><p>The study involved 188 third-year nursing students randomly assigned to the AI group (n=94) or the control group (n=94). An information form, case evaluation form, knowledge test and Mentimeter application were used to assess the students' case management performance and nursing diagnoses. The level of satisfaction with the case analysis lecture was evaluated using the VAS scale.</p></div><div><h3>Results</h3><p>The case management performance scores of the students in the artificial intelligence group were significantly higher than those of the control group (p<0.05). There was no statistically significant difference in satisfaction levels between the artificial intelligence (AI) group and the control group (p>0.05).</p></div><div><h3>Conclusions</h3><p>The study's results indicated that AI-supported cases improved students' case management performance and were as effective as instructor-led cases regarding satisfaction with the case analysis lecture, focus and interest in the case. The integration of artificial intelligence into traditional nursing education curricula is recommended.</p></div><div><h3>Clinical trials registration number</h3><p><span><span>https://register.clinicaltrials.gov</span><svg><path></path></svg></span>; (NCT06443983).</p></div>","PeriodicalId":48715,"journal":{"name":"Nurse Education in Practice","volume":"80 ","pages":"Article 104142"},"PeriodicalIF":3.3000,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The effect of artificial intelligence supported case analysis on nursing students' case management performance and satisfaction: A randomized controlled trial\",\"authors\":\"Seda Akutay , Hatice Yüceler Kaçmaz , Hilal Kahraman\",\"doi\":\"10.1016/j.nepr.2024.104142\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>Rapid developments in artificial intelligence have begun to necessitate changes and transformations in nursing education.</p></div><div><h3>Objective</h3><p>This study aimed to evaluate the impact of an artificial intelligence-supported case created in the in-class case analysis lecture for nursing students on students' case management performance and satisfaction.</p></div><div><h3>Design</h3><p>This study was a randomized controlled trial.</p></div><div><h3>Method</h3><p>The study involved 188 third-year nursing students randomly assigned to the AI group (n=94) or the control group (n=94). An information form, case evaluation form, knowledge test and Mentimeter application were used to assess the students' case management performance and nursing diagnoses. The level of satisfaction with the case analysis lecture was evaluated using the VAS scale.</p></div><div><h3>Results</h3><p>The case management performance scores of the students in the artificial intelligence group were significantly higher than those of the control group (p<0.05). There was no statistically significant difference in satisfaction levels between the artificial intelligence (AI) group and the control group (p>0.05).</p></div><div><h3>Conclusions</h3><p>The study's results indicated that AI-supported cases improved students' case management performance and were as effective as instructor-led cases regarding satisfaction with the case analysis lecture, focus and interest in the case. The integration of artificial intelligence into traditional nursing education curricula is recommended.</p></div><div><h3>Clinical trials registration number</h3><p><span><span>https://register.clinicaltrials.gov</span><svg><path></path></svg></span>; (NCT06443983).</p></div>\",\"PeriodicalId\":48715,\"journal\":{\"name\":\"Nurse Education in Practice\",\"volume\":\"80 \",\"pages\":\"Article 104142\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2024-09-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nurse Education in Practice\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1471595324002713\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NURSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nurse Education in Practice","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1471595324002713","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NURSING","Score":null,"Total":0}
The effect of artificial intelligence supported case analysis on nursing students' case management performance and satisfaction: A randomized controlled trial
Background
Rapid developments in artificial intelligence have begun to necessitate changes and transformations in nursing education.
Objective
This study aimed to evaluate the impact of an artificial intelligence-supported case created in the in-class case analysis lecture for nursing students on students' case management performance and satisfaction.
Design
This study was a randomized controlled trial.
Method
The study involved 188 third-year nursing students randomly assigned to the AI group (n=94) or the control group (n=94). An information form, case evaluation form, knowledge test and Mentimeter application were used to assess the students' case management performance and nursing diagnoses. The level of satisfaction with the case analysis lecture was evaluated using the VAS scale.
Results
The case management performance scores of the students in the artificial intelligence group were significantly higher than those of the control group (p<0.05). There was no statistically significant difference in satisfaction levels between the artificial intelligence (AI) group and the control group (p>0.05).
Conclusions
The study's results indicated that AI-supported cases improved students' case management performance and were as effective as instructor-led cases regarding satisfaction with the case analysis lecture, focus and interest in the case. The integration of artificial intelligence into traditional nursing education curricula is recommended.
期刊介绍：
Nurse Education in Practice enables lecturers and practitioners to both share and disseminate evidence that demonstrates the actual practice of education as it is experienced in the realities of their respective work environments. It is supportive of new authors and will be at the forefront in publishing individual and collaborative papers that demonstrate the link between education and practice.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
