Rigorous radiotherapy quality surveillance and comprehensive outcome assessment require electronic capture and automatic abstraction of clinical, radiation treatment planning, and delivery data. We present the design and implementation framework of an integrated data abstraction, aggregation, and storage, curation, and analytics software: the Health Information Gateway and Exchange (HINGE), which collates data for cancer patients receiving radiotherapy. The HINGE software abstracts structured DICOM-RT data from the treatment planning system (TPS), treatment data from the treatment management system (TMS), and clinical data from the electronic health records (EHRs). HINGE software has disease site-specific “Smart” templates that facilitate the entry of relevant clinical information by physicians and clinical staff in a discrete manner as part of the routine clinical documentation. Radiotherapy data abstracted from these disparate sources and the smart templates are processed for quality and outcome assessment. The predictive data analyses are done on using well-defined clinical and dosimetry quality measures defined by disease site experts in radiation oncology. HINGE application software connects seamlessly to the local IT/medical infrastructure via interfaces and cloud services and performs data extraction and aggregation functions without human intervention. It provides tools to assess variations in radiation oncology practices and outcomes and determines gaps in radiotherapy quality delivered by each provider.

中文翻译：

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用于放射肿瘤学质量监测和结果评估的自动数据提取

严格的放射治疗质量监测和综合结果评估需要电子捕获和自动提取临床、放射治疗计划和交付数据。我们提出了一个集成的数据抽象、聚合和存储、管理和分析软件的设计和实现框架：健康信息网关和交换 (HINGE)，它为接受放射治疗的癌症患者整理数据。HINGE 软件从治疗计划系统 (TPS) 中提取结构化 DICOM-RT 数据，从治疗管理系统 (TMS) 中提取治疗数据，并从电子健康记录 (EHR) 中提取临床数据。铰链软件具有特定于疾病部位的“智能”模板，便于医生和临床工作人员以离散方式输入相关临床信息，作为常规临床文档的一部分。从这些不同的来源和智能模板中提取的放射治疗数据经过处理以进行质量和结果评估。预测数据分析是使用由放射肿瘤学领域的疾病现场专家定义的明确定义的临床和剂量学质量测量来完成的。HINGE 应用软件通过接口和云服务无缝连接到本地 IT/医疗基础设施，并在无需人工干预的情况下执行数据提取和聚合功能。