arXiv:2505.04728cs.SDeess.AS2025-05被引 2

推动听力学数据标准化,凝聚行业共识与行动方向

Data Standards in Audiology: A Mixed-Methods Exploration of Community Perspectives and Implementation Considerations

  • 融合调研与专家研讨,梳理现有标准框架
  • 90%从业者愿参与或支持标准化工作
  • 聚焦跨领域协同与数据互操作难题

本研究探讨听力学领域数据标准化的理论问题,并提出实施路径。通过回顾现有标准化努力、对全球计算听力学社区进行问卷调查(82名成员),以及在2024年虚拟计算听力学会议上的专家圆桌讨论(5位专家),收集了当前认知、需求与偏好。结果显示,构建全球听力学数据库的前提是统一数据标准;尽管多数人了解概念,但鲜有人知晓具体倡议或参与其中。90%受访者表示愿意遵循或贡献于标准化工作。专家讨论了如OMOP、openEHR、Noah等现有倡议,分析了整合中的挑战(如数据调和)与机遇(与其他医学领域对齐、方法转换)。研究结合概念探讨与利益相关者意见,为实现可互操作的数据标准提供指导,强调社区支持、关键待解决问题及未来工作方向。

原文摘要 · Abstract (English)

Objective: This study addresses conceptual issues around data standardisation in audiology, and outlines steps toward achieving it. It reports a survey of the computational audiology community on their current understanding, needs, and preferences concerning data standards. Based on survey findings and a panel discussion, recommendations are made concerning moving forward with standardisation in audiology. Design: Mixed-methods: 1) review of existing standardisation efforts; 2) a survey of the computational audiology community; 3) expert panel discussion in a dedicated session at the 2024 Virtual Conference of Computational Audiology. Sample: Survey: 82 members of the global community; Panel discussion: five experts. Results: A prerequisite for any global audiology database are agreed data standards. Although many are familiar with the general idea, few know of existing initiatives, or have actively participated in them. Ninety percent of respondents expressed willingness to follow or contribute to standardisation efforts. The panel discussed relevant initiatives (e.g. OMOP, openEHR, Noah) and explored both challenges (around harmonisation) and opportunities (alignment with other medical fields and conversion among approaches). Conclusions: Combining conceptual discussion with stakeholder views, the study offers guidance for implementing interoperable data standards in audiology. It highlights community support, key issues to address, and suggests paths for future work.

数据标准化听力学医疗数据互操作性

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