MediClass: A system for detecting and classifying encounter-based clinical events in any electronic medical record
MediClass: A system for detecting and classifying encounter-based clinical events in any electronic medical record
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DOI：
10.1197/jamia.m1771
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发表时间：
2005-09-01
影响因子：
6.4
通讯作者：
Stevens, VJ
中科院分区：
文献类型：
--
作者：
Hazlehurst, B;Frost, RH;Stevens, VJ
MediClass是一个基于知识的系统，可处理自由文本和编码数据，以自动检测电子病历（EMR）中的临床事件。该技术旨在通过自动编码EMR内容来优化临床实践和过程控制，而不考虑数据输入方法（例如，听写、结构化模板、打字叙述）。我们报告的设计目标，实现的功能，通用性，和系统的当前状态。MediClass可以通过加强护理质量评估、疾病监测和不良事件检测来帮助临床操作和卫生服务研究。
MediClass is a knowledge-based system that processes both free-text and coded data to automatically detect clinical events in electronic medical records (EMRs). This technology aims to optimize both clinical practice and process control by automatically coding EMR contents regardless of data input method (e.g., dictation, structured templates, typed narrative). We report on the design goals, implemented functionality, generalizability, and current status of the system. MediClass could aid both clinical operations and health services research through enhancing care quality assessment, disease surveillance, and adverse event detection.