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Statistical competence of clinicians in the context of emerging medical education and digital-intelligent medicine: composition and educational implications
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Xinyu FANG, Jing WANG, Yinguang FAN, Ruixue LENG, Guixia PAN, Yanfeng ZOU, Bin WANG, Faming PAN, Shasha TAO, Haifeng PAN, Juncheng MA
Chinese Journal of Public Health | 2026, 42(9) : 1039 - 1043
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Chinese Journal of Public Health | 2026, 42(9): 1039-1043
• Special Report—Innovating Health Workforce Development •
Statistical competence of clinicians in the context of emerging medical education and digital-intelligent medicine: composition and educational implications
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Xinyu FANG, Jing WANG, Yinguang FAN, Ruixue LENG, Guixia PAN, Yanfeng ZOU, Bin WANG, Faming PAN, Shasha TAO, Haifeng PAN, Juncheng MA
Affiliations
  • Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei 231200, China
Published: 2026-09-10 doi: 10.11847/zgggws1149898
Outline
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In the context of emerging medical education, statistical competence has become an essential core competence for clinicians engaged in evidence-based decision-making and medical research. With the increasing adoption of data-driven medical paradigms such as real-world evidence, multivariable prediction models, and AI-assisted clinical decision-support systems, clinicians are required not only to understand statistical analysis results but also to assess model applicability, generalizability, and potential sources of bias in clinical practice. Drawing on available literature, policy directions, and teaching practices, this study theoretically re-conceptualizes the statistical competence required for clinicians in the current healthcare environments. We propose a three-tier competence framework consisting of statistical literacy, statistical competence, and data reasoning competence, and further delineate six corresponding competence domains. Using this integrated competence framework, this study explores potential pedagogical mappings in curriculum design, contextualized teaching strategies, and assessment approaches aligned with competence-oriented learning outcomes. This framework is intended to provide a conceptual basis for redefining the training objectives of clinicians′ statistical competence in the context of emerging medical education.

clinician  /  statistical literacy  /  curriculum-embedded ideological and political education  /  competence framework  /  new medical science  /  evidence-based decision-making
方心宇, 王静, 范引光, 冷瑞雪, 潘贵霞, 邹延峰, 王斌, 潘发明, 陶莎莎, 潘海峰, 马军成. “新医科”与数智医学背景下临床医生统计学能力构成及教学启示. 中国公共卫生, 2026 , 42 (9) : 1039 -1043 . DOI: 10.11847/zgggws1149898
Xinyu FANG, Jing WANG, Yinguang FAN, Ruixue LENG, Guixia PAN, Yanfeng ZOU, Bin WANG, Faming PAN, Shasha TAO, Haifeng PAN, Juncheng MA. Statistical competence of clinicians in the context of emerging medical education and digital-intelligent medicine: composition and educational implications[J]. Chinese Journal of Public Health, 2026 , 42 (9) : 1039 -1043 . DOI: 10.11847/zgggws1149898
Year 2026 volume 42 Issue 9
114
49
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Article Info
doi: 10.11847/zgggws1149898
  • Receive Date:2026-01-16
  • Online Date:2026-10-23
  • Published:2026-09-10
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History
  • Received:2026-01-16
  • Revised:2026-03-08
  • Accepted:2026-04-13
Affiliations
    Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei 231200, China

Corresponding:

MA Juncheng, E-mail:
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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