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Medical records that guide and teach.具有指导和教学作用的医疗记录。
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一个用于构建、建模和可视化患者记录的神经肿瘤学工作站。

A Neuro-Oncology Workstation for Structuring, Modeling, and Visualizing Patient Records.

作者信息

Hsu William, Arnold Corey W, Taira Ricky K

机构信息

UCLA Dept of Radiology, Los Angeles, CA.

出版信息

IHI. 2010 Nov;2010:837-840. doi: 10.1145/1882992.1883120.

DOI:10.1145/1882992.1883120
PMID:27583308
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5003527/
Abstract

The patient medical record contains a wealth of information consisting of prior observations, interpretations, and interventions that need to be interpreted and applied towards decisions regarding current patient care. Given the time constraints and the large-often extraneous-amount of data available, clinicians are tasked with the challenge of performing a comprehensive review of how a disease progresses in individual patients. To facilitate this process, we demonstrate a neuro-oncology workstation that assists in structuring and visualizing medical data to promote an evidence-based approach for understanding a patient's record. The workstation consists of three components: 1) a structuring tool that incorporates natural language processing to assist with the extraction of problems, findings, and attributes for structuring observations, events, and inferences stated within medical reports; 2) a data modeling tool that provides a comprehensive and consistent representation of concepts for the disease-specific domain; and 3) a visual workbench for visualizing, navigating, and querying the structured data to enable retrieval of relevant portions of the patient record. We discuss this workstation in the context of reviewing cases of glioblastoma multiforme patients.

摘要

患者病历包含丰富的信息,这些信息由先前的观察、解读和干预措施组成,需要对其进行解读并应用于当前患者护理的决策。鉴于时间限制以及大量(通常是无关的)可用数据,临床医生面临着全面回顾疾病在个体患者中如何进展的挑战。为了促进这一过程,我们展示了一个神经肿瘤学工作站,该工作站有助于构建医学数据并使其可视化,以推广一种基于证据的方法来理解患者记录。该工作站由三个组件组成:1)一种结构化工具,它结合自然语言处理来协助提取问题、发现和属性,以构建医学报告中陈述的观察、事件和推断;2)一种数据建模工具,它为特定疾病领域的概念提供全面且一致的表示;3)一个可视化工作台,用于可视化、导航和查询结构化数据,以便检索患者记录的相关部分。我们在回顾多形性胶质母细胞瘤患者病例的背景下讨论这个工作站。