Evidence map›Paper›PMID 42023122›Full record

ArticleAdvances in medical education and practice2026

A Blended Case-Based and Practical Training Framework for Graduate Ultrasound Education: A Perspective on Competency-Based Instruction.

Shuang Liu, Kai Zhu, Zhicheng Ran, Fanfeng Zeng, Menghan Zhu, Yan Wang, Dongmo Wang

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Article in Advances in medical education and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Shuang LiuDepartment of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
Kai ZhuDepartment of Radiology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.ORCID 0000-0002-2528-8667
Zhicheng RanDepartment of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.ORCID 0009-0004-8416-6274
Fanfeng ZengDepartment of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.ORCID 0009-0000-3457-2611
Menghan ZhuDepartment of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.ORCID 0009-0007-4909-9127
Yan WangDepartment of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.ORCID 0009-0007-2090-8656
Dongmo WangDepartment of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.ORCID 0000-0002-5210-1685

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the widespread application of ultrasound in disease screening, clinical diagnosis, and efficacy monitoring, the traditional model in which ultrasound examinations and diagnoses are independently performed by ultrasound physicians has increasingly struggled to meet the growing clinical demands. The gradual introduction and standardized development of the professional role of ultrasound technicians have imposed new training requirements on graduate education in medical imaging technology. Against this background, how to effectively cultivate students' clinical thinking and technical operation abilities at the graduate level has become a significant educational challenge in ultrasound teaching reform. Based on the above educational needs, this paper proposes a competency-oriented conceptual teaching framework that integrates case-based teaching with structured practical training for ultrasound instruction in graduate programs of medical imaging technology. This framework is based on competency-based education theory and aims to bridge the gap between theoretical knowledge and practical operational skills. The framework systematically elaborates on principles for case selection and design, practical training content, and teaching methods, while constructing a closed-loop teaching structure of 'case introduction-group discussion-skills training-reflection and summary. Meanwhile, this paper analyzes the key issues that may arise during the implementation of integ rated teaching, including complex teaching organization processes, uneven student participation, and insufficient transformation of learning outcomes, and proposes corresponding strategies, such as standardized process design, formative evaluation mechanisms, and diversified assessment methods. From the perspectives of theory and teaching design, this paper proposes a structured teaching model to provide a reference for graduate ultrasound curriculum development and teaching reform, and lays a foundation for the further practice and validation of a competency-oriented training model for ultrasound technicians.

Indexed as

clinical practicegraduate studentsmedical educationproblem-based learningultrasonography

Identifiers

PMID42023122
PMCPMC13098698

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