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SONG Yue-li, SONG Guo-qiang, WU Juan, et al. Big Data Management and Application: Specialty Construction Overview and Exploration of Personnel Training System in Medical Schools[J]. Journal of Sichuan University (Medical Sciences), 2022, 53(5): 782-789. DOI: 10.12182/20220960302
Citation: SONG Yue-li, SONG Guo-qiang, WU Juan, et al. Big Data Management and Application: Specialty Construction Overview and Exploration of Personnel Training System in Medical Schools[J]. Journal of Sichuan University (Medical Sciences), 2022, 53(5): 782-789. DOI: 10.12182/20220960302

Big Data Management and Application: Specialty Construction Overview and Exploration of Personnel Training System in Medical Schools

  • Focusing on the undergraduate specialty construction of big data management and application in medical colleges and universities in the context of New Medical Education, we first analyzed, in this paper, the demand for trained personnel of this specialization and the status of program construction at the national and regional levels. Then, taking Anhui Medical University as an example, a key medical university in Anhui Province, we introduced the preparations made by medical colleges and universities to set up big data management and application specialty. Finally, from the perspectives of the objectives of personnel training, curriculum system, and practical teaching system, we presented in detail the exploratory efforts made by Anhui Medical University to construct a training system for personnel specializing in big data management and application. In this paper, we reported mainly the work done on the exploration of the personnel training curriculum system, covering general education, professional education, and extracurricular activities, highlighting the interdisciplinary characteristics of a personnel training curricular system that integrates medicine, engineering, and management. We also reported on a practice teaching system that combined in-class practical teaching and extracurricular activities, and that incorporated tiered contents of increasing challenge--basic practice level, cognitive practice level, comprehensive practice level, and innovative practice level. This study is expected to provide useful references for the training of personnel specializing in medical big data in the context of New Medical Education.
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