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Creation of a retrospective searchable neuropathologic database from print archives at Toronto's University Health Network

机译:通过多伦多大学健康网的印刷档案创建可追溯的可检索神经病理学数据库

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摘要

University Health Network (UHN) Pathology, in its capacity of providing neuro-oncologic care, now utilizes a laboratory information system (LIS), which was instituted in September 2001. For the 75 years preceding the LIS, more than 50?000 pathology reports exist in paper format. High-throughput automated scanning of the paper archives was employed to add the most recent 30 years of paper records (30?000 neuropathology specimens) to the LIS. The searchable portable document format (PDF) files generated from the scans were filtered through a multi-tiered process driven by Java computer programs that selected relevant patient and diagnostic information. A second series of programs queried the neuropathologist-assigned diagnoses and successfully converted these to the standardized World Health Organization (WHO) format. This was achieved with a master list of key site and diagnostic terms, and prioritization rules that were determined on a trial and error basis. Categorization, verification, and consolidation were completed within 3 months and on a C$10?000 budget.
机译:大学卫生网络(UHN)病理学以其提供神经肿瘤护理的能力,现在利用了实验室信息系统(LIS),该系统于2001年9月建立。在LIS成立前的75年中,有50,000多份病理报告以纸张格式存在。采用高通量的纸质档案自动扫描功能,将最近30年的纸质档案(30?000个神经病理学标本)添加到LIS中。扫描生成的可搜索便携式文档格式(PDF)文件通过Java计算机程序驱动的多层过程进行过滤,该过程选择了相关的患者和诊断信息。第二系列程序查询了神经病理学家指定的诊断,并将其成功转换为标准化的世界卫生组织(WHO)格式。这是通过关键站点和诊断术语的主列表以及基于反复试验确定的优先级规则来实现的。分类,验证和合并工作在3个月内完成,预算为1万加元。

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