面向患者的多模态种植牙数据管理数据治理平台的构建与验证
Construction and validation of a patient-centered data governance platform for multimodal dental implant data management.
摘要(中文译文)
目的：为应对牙科种植学中多源数据管理的挑战，本研究旨在构建并验证一个以患者为中心、基于时间序列的数据治理框架。材料与方法：我们建立了牙科种植时间序列模型，并定义了统一的牙科种植标准数据集。开发了基于MySQL的治理平台，具有用户友好的界面。通过一项受试者内交叉研究评估了可用性，涉及8名种植牙医执行四项代表性临床任务，并将该平台与常规工具进行比较，以任务完成时间和系统可用性量表（SUS）评分作为结局指标。此外，通过该框架在研究和教育中的应用评估了其效用。结果：标准牙科种植数据集包含715个通用数据元素，用于解析多源异构牙科种植数据。牙科种植平台允许用户执行各种患者数据管理任务，沿牙科种植时间序列有效组织多模态数据。可用性测试显示出显著的效率和用户满意度提升：在所有场景中任务完成时间减少了21.9–38.1%（P < 0.05），平均SUS评分为76.88 ± 4.77，表明具有较高的临床可接受性。此外，我们探索了该数据在循证流行病学研究和人工智能应用中的研究效用。结论：本研究建立了一个经过验证的、标准化的临床数据治理框架，显著提高了临床数据管理效率和用户满意度，为专科特异性医疗数据治理提供了可复制的模型。临床相关性：该平台增强了真实世界数据的可及性，提供高质量的结构化数据，以支持临床决策、教育以及种植牙学未来的人工智能应用。
Abstract
OBJECTIVES: To address the challenge of managing diverse multisource data in dental implantology, this study aimed to construct and validate a patient-centered, time series-based data governance framework. MATERIALS AND METHODS: We established a dental implant time series model and defined a unified dental implantation standard dataset. A MySQL-based governance platform was developed with a user-friendly interface. Usability was evaluated through a within-subject crossover study involving 8 implant dentists performing four representative clinical tasks and comparing the platform against conventional tools, with outcomes measured by task completion time and System Usability Scale (SUS) scores. Additionally, the framework’s utility was assessed through its application in research and education. RESULTS: The standard dental implantation dataset contained 715 common data elements for interpreting multisource heterogeneous dental implant data. The dental implant platform allowed users to perform various patient data management tasks, effectively organizing multimodal data along the dental implant time series. Usability testing demonstrated significant efficiency and user satisfaction gains: task completion time decreased by 21.9–38.1% across all the scenarios (P < 0.05), with mean SUS scores of 76.88 ± 4.77, indicating high clinical acceptability. In addition, we explored the research utility of the data in evidence-based epidemiological studies and artificial intelligence applications. CONCLUSION: This study establishes a validated, standardized framework for clinical data governance that significantly improves clinical data management efficiency and user satisfaction, offering a replicable model for specialty-specific medical data governance. CLINICAL RELEVANCE: The platform enhances real-world data accessibility providing high-quality structured data to support clinical decision-making, education, and future AI applications in implant dentistry.
如何引用
AMA
Shijie Chen, Peisheng Zeng, Yue Chen, Yuhua Zhu, Zhuohong Gong, Yixiong Lin, et al. Construction and validation of a patient-centered data governance platform for multimodal dental implant data management.. Clinical oral investigations. 2026; doi:10.1007/s00784-026-06892-x.
APA
Shijie Chen, Peisheng Zeng, Yue Chen, Yuhua Zhu, Zhuohong Gong, Yixiong Lin, et al (2026). Construction and validation of a patient-centered data governance platform for multimodal dental implant data management.. Clinical oral investigations. https://doi.org/10.1007/s00784-026-06892-x
GB/T 7714
Shijie Chen, Peisheng Zeng, Yue Chen, Yuhua Zhu, Zhuohong Gong, Yixiong Lin, et al. Construction and validation of a patient-centered data governance platform for multimodal dental implant data management.[J]. Clinical oral investigations, 2026 doi:10.1007/s00784-026-06892-x.
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