开发临床生物信息学决策支持系统。

Vitali Sintchenko, Enrico Coiera
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引用次数: 5

摘要

对工具的需求不断增长,以支持临床医生利用分子诊断和细胞遗传学方法产生的基因组结果来支持他们的决策。本章回顾了临床生物信息学电子决策支持系统(EDSS)的设计、实施和评估的现有经验和方法。它为识别自动化的决策任务和为构建特定于任务的系统选择最佳工具提供了路线图。还概述了实施和评价电子信息系统的关键成功因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing decision support systems in clinical bioinformatics.

There is a growing demand for tools to support clinicians utilize genomic results generated by molecular diagnostic and cytogenetic methods in support of their decision-making. This chapter reviews existing experience and methods for the design, implementation and evaluation of clinical bioinformatics electronic decision support systems (EDSS). It provides a roadmap for identifying decision tasks for automation and selecting optimal tools for building task-specific systems. Key success factors for EDSS implementation and evaluation are also outlined.

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