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操作室多模式数据管理的共识:确定数据驱动手术的研究优先事项.

Alain Garcia Vazquez¹, Juan Verde¹, Ariosto Hernandez Lara¹

¹From the Institute of Image Guided Surgery of Strasbourg, IHU Strasbourg, Strasbourg, France.

Annals of surgery open : perspectives of surgical history, education, and clinical approaches

|September 23, 2024

概括

本研究确定了数据驱动手术的关键研究领域,以改善微创手术中的数据管理. 专家们优先考虑标准化手术室数据和整合人工智能,以提高患者护理和手术效率.

关键词:

数据驱动的外科手术.数字手术是数字手术.机器学习在外科手术中的应用手术数据管理手术数据管理手术数据科学手术数据科学

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科学领域:

手术数据科学手术数据科学
最少侵入性的手术
多模式数据分析多模式数据分析

背景情况:

由于技术进步,手术室正在成为数据丰富的环境.
有效的数据管道管理对于手术中实时数据利用至关重要.
将研究工作集中在实际数据使用上,对于外科创新至关重要.

研究的目的:

确定多式联络数据驱动手术的关键研究领域.
改进微创手术的数据管理策略.
建立未来手术数据科学研究的路线图.

主要方法:

一种经过修改的电子Delphi方法,涉及53名调查人员.
问题识别和文献审查由一个研究小组.
由医疗和技术专家进行验证,随后由受邀小组进行两轮调查.

主要成果:

确定的主要研究领域包括数字化手术室活动和改进数据流.
为了提高效率和安全,对多式联运数据处理和人工智能集成的统一协议至关重要.
路线图优先考虑标准化数据格式,整合患者信息,确保监管合规,并确保数据传输.

结论:

这项国际专家共识突出了数据驱动手术的当前问题和研究目标.
该研究强调需要改进数据管理,以促进新型患者护理策略.
解决发现的研究缺口将推动数据驱动的方法在微创手术的实施.