Cohort study links digital learning community to higher medical skills scores

Medical students taught through a digitally integrated clinical skills learning community achieved higher scores than students who received traditional teaching across course evaluations, a clinical skills assessment, internship evaluations and graduation examinations. The comparative cohort study, reported in BMC Medical Education, examined clinical medicine students from classes 1 and 2 in the 2020 intake, who received the redesigned course, and corresponding classes from the 2019 intake, who served as controls. The experimental group’s mean clinical skills score was 92.73 ± 0.56, compared with 86.93 ± 1.01 for the control group, a difference reported as statistically significant at P < 0.001.

The intervention, described by the researchers as an intelligent clinical skills learning community, combined modern information technology with several forms of active learning. Teaching resources were enriched with digital material, and virtual and real scenarios were incorporated into basic, specialized and comprehensive skills training. The course also used simulation-based teaching alongside task-driven, case-based, problem-based and team-based learning. Information technology was incorporated into the organization of learning and into assessment and evaluation. The study therefore evaluated a multicomponent educational reform rather than a single application, device or technical platform.

Students in the experimental group gave the redesigned course higher survey ratings across all three reported measures. Mean course satisfaction was 9.05 ± 0.07, compared with 7.21 ± 0.09 in the control group. Ratings for the stimulation of learning interest and motivation were 9.17 ± 0.07 versus 7.47 ± 0.09, while ratings for the promotion of autonomous learning were 9.16 ± 0.07 versus 7.65 ± 0.09. Each comparison had P < 0.001. These questionnaire results show that students perceived the intervention more favorably, although the reported abstract does not describe the survey instrument, its validation, response rate or whether the groups were blinded to the purpose of the questions.

Post-internship assessments also favored the experimental group on three dimensions of clinical competency. Ratings for clinical skills improvement were 9.05 ± 0.08, compared with 8.08 ± 0.10 for controls; clinical thinking scores were 9.08 ± 0.07 versus 8.17 ± 0.08; and doctor-patient communication ratings were 9.44 ± 0.05 versus 8.31 ± 0.09. All three differences were reported at P < 0.001. The experimental group also received significantly higher scores in every component of the graduation skills examination, again with P < 0.001, although the supplied abstract does not provide the component-specific scores. Together, the findings show an association between participation in the technology-integrated course and stronger measured outcomes during training, internship evaluation and graduation assessment.

The design limits how confidently the results can be interpreted. The comparison used students from two different intake years, with intact classes assigned to the intervention or traditional teaching rather than individual students being randomized. Consequently, the observed differences cannot be attributed solely to digital technology; differences between cohorts, teachers, course conditions or other features may also have contributed. The supplied evidence does not identify the institution, specify the digital tools or technical systems used, describe assessor blinding, report enrollment and attrition, or provide details of the graduation examination components. The authors interpreted the combined results as evidence that the learning community expanded learning time and space, stimulated interest, improved clinical skills and thinking, and enhanced clinical competency. Within the limits of this nonrandomized two-cohort comparison, the study provides evidence of better student ratings and performance outcomes associated with the multicomponent reform, rather than proof that any individual digital feature produced the gains.

Subject of Research: Evaluation of a digitally integrated clinical skills learning community among medical students

Article Title: An intelligent clinical skills learning community integrated with digital information technology to improve clinical competency among medical students

Article References: Chen, Z., Feng, H., Deng, N., Zhang, Y., Xu, M., & Liu, C. (2026). An intelligent clinical skills learning community integrated with digital information technology to improve clinical competency among medical students. BMC Medical Education. https://doi.org/10.1186/s12909-026-10342-3

Image Credits: AI Generated

DOI: 10.1186/s12909-026-10342-3

Keywords: medical education, clinical skills, digital learning, simulation training, clinical competency, medical students, learning outcomes, curriculum reform, intelligent, clinical, skills, learning