How Data Analytics Can Be Leveraged to Enhance Graduate Clinical Skills Education.
作者信息
Garibaldi Brian T, Hollon McKenzie, Knopp Michelle I, Winkel Abigail Ford, Burk-Rafel Jesse, Caretta-Weyer Holly A
机构信息
is Director, Center for Bedside Medicine, and Charles Horace Mayo Professor of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
is an Associate Professor of Medicine and Vice Chair for Education, Department of Anesthesiology, Emory University School of Medicine, Atlanta, Georgia, USA.
出版信息
J Grad Med Educ. 2025 May;17(2 Suppl):37-41. doi: 10.4300/JGME-D-24-00776.1. Epub 2025 May 15.
Abstract
摘要
相似文献
1
How Data Analytics Can Be Leveraged to Enhance Graduate Clinical Skills Education.如何利用数据分析来加强研究生临床技能教育。
J Grad Med Educ. 2025 May;17(2 Suppl):37-41. doi: 10.4300/JGME-D-24-00776.1. Epub 2025 May 15.
2
Assessing the impact of digital education and the role of the big data analytics course to enhance the skills and employability of engineering students.评估数字教育的影响以及大数据分析课程在提升工科学生技能和就业能力方面的作用。
Front Psychol. 2022 Oct 19;13:974574. doi: 10.3389/fpsyg.2022.974574. eCollection 2022.
3
Using e-learning to support clinical skills acquisition: exploring the experiences and perceptions of graduate first-year pre-registration nursing students - a mixed method study.利用电子学习支持临床技能获取：探索本科一年级预注册护理专业学生的经历与看法——一项混合方法研究
Nurse Educ Today. 2013 Dec;33(12):1605-11. doi: 10.1016/j.nedt.2013.01.024. Epub 2013 Mar 7.
4
Integration of Web Analytics Into Graduate Medical Education: Usability Study.将网络分析整合到毕业后医学教育中：可用性研究
JMIR Form Res. 2021 Dec 13;5(12):e29748. doi: 10.2196/29748.
5
Using learning analytics in clinical competency committees: Increasing the impact of competency-based medical education.在临床能力委员会中使用学习分析：提高基于能力的医学教育的影响力。
Med Educ Online. 2023 Dec;28(1):2178913. doi: 10.1080/10872981.2023.2178913.
6
Scientific Training in the Era of Big Data: A New Pedagogy for Graduate Education.大数据时代的科学训练：研究生教育的新教育学
Big Data. 2017 Mar;5(1):12-18. doi: 10.1089/big.2016.0014. Epub 2017 Mar 13.
7
A Scoping Review of Graduate Nurses' Education and Use of QSEN Competencies.研究生护士教育及 QSEN 能力应用的范围综述
Mil Med. 2023 Nov 10;189(Suppl 1):45-50. doi: 10.1093/milmed/usad097.
8
Health informatics and analytics - building a program to integrate business analytics across clinical and administrative disciplines.健康信息学与分析——构建一个跨临床和管理学科整合商业分析的项目。
J Am Med Inform Assoc. 2016 Jul;23(4):824-8. doi: 10.1093/jamia/ocw055. Epub 2016 Jun 6.
9
[An AHP analysis of knowledge and skills necessary to become an occupational physician and required under- and post-graduate education and training system].[关于成为职业医师所需知识和技能以及研究生阶段和毕业后教育与培训体系要求的层次分析法分析]
J UOEH. 1996 Mar 1;18(1):77-84. doi: 10.7888/juoeh.18.77.
10
Leveraging multidisciplinarity in a visual analytics graduate course.在视觉分析研究生课程中利用多学科性。
IEEE Comput Graph Appl. 2012 May-Jun;32(3):84-7. doi: 10.1109/MCG.2012.55.
本文引用的文献
1
Big brother or big opportunity? Utilization of EHR use metadata in the inpatient setting: A mixed methods study at 16 organizations.老大哥还是大机遇？住院环境中电子健康记录使用元数据的利用：对16个机构的混合方法研究。
J Hosp Med. 2025 Jul;20(7):677-687. doi: 10.1002/jhm.13572. Epub 2024 Dec 25.
2
A Scoping Review of the Literature on Entrustable Professional Activities in Surgery Residency Programs.外科住院医师培训计划中可委托专业活动文献的范围综述
J Surg Educ. 2024 Jun;81(6):823-840. doi: 10.1016/j.jsurg.2024.02.011. Epub 2024 Apr 27.
3
A scoping review of artificial intelligence in medical education: BEME Guide No. 84.人工智能在医学教育中的应用：BEME 指南第 84 号
Med Teach. 2024 Apr;46(4):446-470. doi: 10.1080/0142159X.2024.2314198. Epub 2024 Feb 29.
4
Precision Education: The Future of Lifelong Learning in Medicine.精准医学教育：医学终身学习的未来。
Acad Med. 2024 Apr 1;99(4S Suppl 1):S14-S20. doi: 10.1097/ACM.0000000000005601. Epub 2024 Jan 29.
5
The Next Era of Assessment: Building a Trustworthy Assessment System.评估的新时代：构建一个值得信赖的评估体系。
Perspect Med Educ. 2024 Jan 22;13(1):12-23. doi: 10.5334/pme.1110. eCollection 2024.
6
Utilizing generative conversational artificial intelligence to create simulated patient encounters: a pilot study for anaesthesia training.利用生成式对话人工智能创建模拟患者就诊：麻醉培训的初步研究。
Postgrad Med J. 2024 Mar 18;100(1182):237-241. doi: 10.1093/postmj/qgad137.
7
Using Natural Language Processing to Evaluate the Quality of Supervisor Narrative Comments in Competency-Based Medical Education.使用自然语言处理评估基于能力的医学教育中导师叙事性反馈的质量。
Acad Med. 2024 May 1;99(5):534-540. doi: 10.1097/ACM.0000000000005634. Epub 2024 Jan 12.
8
Ambulatory Long Block: A Model of Precision Education and Assessment for Internal Medicine Residents.门诊长期培训模块：内科住院医师精准教育与评估模式
Acad Med. 2024 Apr 1;99(4S Suppl 1):S57-S63. doi: 10.1097/ACM.0000000000005610. Epub 2023 Dec 28.
9
Demystifying AI: Current State and Future Role in Medical Education Assessment.人工智能揭秘：当前在医学教育评估中的状态和未来作用
Acad Med. 2024 Apr 1;99(4S Suppl 1):S42-S47. doi: 10.1097/ACM.0000000000005598. Epub 2023 Dec 28.
10
AI-Enabled Medical Education: Threads of Change, Promising Futures, and Risky Realities Across Four Potential Future Worlds.人工智能辅助医学教育：四大潜在未来世界中的变革脉络、美好前景和风险现实。
JMIR Med Educ. 2023 Dec 25;9:e50373. doi: 10.2196/50373.
Zotero 插件