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Leveraging healthcare professionals' insights to enhance data quality in medical big data platforms: A qualitative
Huang Jingjing1, Huang Sufang1, Lang Xiaorong1
1Department of Emergency, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Objective:
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.
Method:
Semistructured interviews were conducted with 19 doctors and nurses from a tertiary hospital in Wuhan City between April and June 2024.
Results:
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.
Conclusion:
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.
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