Jingjing Huang, Sufang Huang, Xiaorong Lang, Yuchen Liu, Kexin Zhang, Shiya Liu
Department of Emergency, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Digit Health. 2025 Mar 17;11:20552076251326697. doi: 10.1177/20552076251326697. eCollection 2025 Jan-Dec.
This study aims to explore the awareness, attitudes, and actual usage of medical big data platforms among healthcare professionals to provide practical guidance and theoretical support for improving data quality for the development of medical informatization.
Semistructured interviews were conducted with 19 doctors and nurses from a tertiary hospital in Wuhan City between April and June 2024.
The analysis yielded seven major themes and nine subthemes: cognitive status, Value of Medical Big Data Platforms, data trust (subjective data, objective data), purposes of data recording (patient condition observation, self-protection, task completion), practical challenges (conflict between work purposes and recording requirements, inconsistent departmental training standards, influence of leadership style and team culture), standardization of data recording, and concerns about data privacy.
The insufficient understanding of medical big data platforms among healthcare professionals affects the quality of data recording and research value, emphasizing the necessity of strengthening training, standardizing data recording, providing technical support, and ensuring data security.
本研究旨在探讨医疗专业人员对医学大数据平台的认知、态度及实际使用情况，为提高医学信息化发展中的数据质量提供实践指导和理论支持。
2024年4月至6月期间，对武汉市一家三级医院的19名医生和护士进行了半结构化访谈。
分析得出七个主要主题和九个子主题：认知状况、医学大数据平台的价值、数据信任（主观数据、客观数据）、数据记录目的（患者病情观察、自我保护、任务完成）、实际挑战（工作目的与记录要求之间的冲突、部门培训标准不一致、领导风格和团队文化的影响）、数据记录的标准化以及对数据隐私的担忧。
医疗专业人员对医学大数据平台的理解不足影响了数据记录质量和研究价值，强调加强培训、规范数据记录、提供技术支持和确保数据安全的必要性。
