Department of Radiology, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China (mainland).
Department of Radiology, The First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China (mainland).
Med Sci Monit. 2020 Apr 16;26:e923836. doi: 10.12659/MSM.923836.
BACKGROUND This study aimed to compare multiple quantitative evaluation indices of levels of theoretical knowledge and clinical practice skills in training medical interns in cardiovascular imaging based on the use of the blended teaching (BT) online artificial intelligence (AI) case resource network platform (CRNP), including time and frequency indices and effectiveness of the CRNP. MATERIAL AND METHODS The study included 110 medical interns who were divided into the routine teaching (RT) group (n=55) and the blended teaching (BT) group (n=55). The two were assessed using the mini-clinical evaluation exercise (mini-CEX) that assessed clinical skills, attitudes, and behaviors and using an objective written questionnaire. The following four indices were compared between the RT and BT groups: the X-ray score (XS), the computed tomography angiography (CTA) score (CS), the cardiac magnetic resonance imaging (CMRI) score (MS), and the average score (AS). Seven assessment indicators included: the imaging description (ID), the qualitative diagnosis (QD), the differential diagnosis (DD), examination preparation (EP), interview skill (IS), position display (PD), and human care (HC). Indicators of CRNP use included: number of times (TN), average duration (AD), single maximum duration (SMD), and total duration (TD). RESULTS AS significantly correlated with AD (rAD=0.761) and TD (rTD=0.754), and showed moderate correlation with TN (rTN=0.595), but weak correlation with SMD (rSMD=0.404). CONCLUSIONS Levels of theoretical knowledge and clinical practice skills during medical intern training in cardiovascular imaging based on BT using the CRNP teaching technology improved theoretical knowledge and practical skills.
本研究旨在比较基于混合教学(BT)在线人工智能(AI)病例资源网络平台(CRNP)使用的心血管成像医学实习生理论知识和临床实践技能的多个定量评估指标,包括 CRNP 的时间和频率指标以及有效性。
本研究纳入了 110 名医学实习生,分为常规教学(RT)组(n=55)和混合教学(BT)组(n=55)。采用迷你临床评估练习(mini-CEX)评估临床技能、态度和行为,并采用客观书面问卷对两组进行评估。比较 RT 组和 BT 组之间的以下四个指标:X 射线评分(XS)、计算机断层血管造影(CTA)评分(CS)、心脏磁共振成像(CMRI)评分(MS)和平均评分(AS)。七个评估指标包括:影像学描述(ID)、定性诊断(QD)、鉴别诊断(DD)、检查准备(EP)、访谈技巧(IS)、体位显示(PD)和人文关怀(HC)。CRNP 使用指标包括:使用次数(TN)、平均时长(AD)、单次最长时长(SMD)和总时长(TD)。
AS 与 AD(rAD=0.761)和 TD(rTD=0.754)显著相关,与 TN(rTN=0.595)中度相关,与 SMD(rSMD=0.404)弱相关。
基于 CRNP 教学技术的 BT 在心血管成像中对医学实习生的理论知识和临床实践技能培训水平提高了理论知识和实践技能。