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Objectives <p>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.</p> Materials and methods <p>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.</p> Results <p>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 (<i>P</i> &lt; 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.</p> Conclusion <p>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.</p> Clinical relevance <p>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.</p>

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Construction and validation of a patient-centered data governance platform for multimodal dental implant data management

  • 期刊论文

  • 发表日期：

    2026年4月23日

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  • Shijie Chen,
  • Peisheng Zeng,
  • Yue Chen,
  • Yuhua Zhu,
  • Zhuohong Gong,
  • Yixiong Lin,
  • Rui Xie,
  • Zhuofan Chen,
  • Mengru Shi,
  • Zetao Chen

摘要

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.