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The digital operating room: towards intelligent infrastructures and processes

机译:数字化手术室:面向智能基础架构和流程

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Based on current research and development activities, a timeline with five stages of maturity levels for the development of the Digital Operating Room (DOR) during the first quarter of the twenty-first century will be outlined. In particular, there are several areas of technology development for the DOR such as (1) Devices, including signal detection and recording, robotics, navigation systems and simulation technologies, which allow more precision in the delivery of personalized interventional therapy; (2) Information and Communication Technology (ICT) Infrastructure and Standards, including Digital Imaging and Communications in Medicine (DICOM), Integrating the Healthcare Enterprise (IHE), the electronic medical record (EMR), and Therapy Imaging and Model Management System (TIMMS) infrastructure for the storage, integration, processing and transmission of patient specific data in and outside the operating room; and (3) Functionalities, including patient specific modeling for selected interventional processes, optimization of surgical workflow as well as TIMMS engines and repositories for improving the overall quality of surgical interventions. Patient specific modeling, work flow management and standards are key aspects for the development of DOR technologies. They will be the prerequisite for intelligent infrastructures and processes in the digital operating room of the future. Architectural aspects of an intelligent infrastructure, specifically a Therapy Imaging and Model Management System (TIMMS) and the Patient-Specific Model (PSM) as well as Standards and integration mechanisms are therefore briefly discussed in this paper.
机译:根据当前的研究和开发活动,将概述在二十一世纪第一季度发展数字手术室(DOR)的五个成熟阶段的时间表。特别是DOR的技术开发领域很多,例如:(1)设备,包括信号检测和记录,机器人技术,导航系统和仿真技术,这些技术可以使个性化介入治疗的交付更加精确; (2)信息和通信技术(ICT)基础设施和标准,包括医学数字成像和通信(DICOM),医疗保健企业(IHE),电子病历(EMR)以及治疗成像和模型管理系统(TIMMS)的集成)用于在手术室内外存储,集成,处理和传输患者特定数据的基础设施; (3)功能,包括针对特定介入过程的患者特定模型,优化手术流程以及TIMMS引擎和存储库,以提高手术干预的整体质量。针对患者的建模,工作流程管理和标准是DOR技术开发的关键方面。它们将是未来数字手术室中智能基础设施和流程的前提。因此,本文将简要讨论智能基础架构的体系结构方面,尤其是治疗成像和模型管理系统(TIMMS)和患者特定模型(PSM)以及标准和集成机制。

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