基于计算机的临床决策辅助。对方法和系统评估的回顾。

Y Reisman
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引用次数: 42

摘要

在过去的三十年中,大量的研究致力于开发综合临床决策支持系统。本报告的目的是对这样一个系统需要什么有一个基本的了解。通过大量的文献研究,对基于计算机的临床辅助系统的主要组成部分进行了调查。本文描述了评估此类项目的主要方法和几个方面。计算机具有几种适合解决医学问题的固有能力,可以帮助将医学知识形式化。该系统的组成部分包括计算机数据库、推理引擎和用户界面。构建推理引擎的不同方法都是基于对信息的操纵,并主张使用知识来构建问题的解决方案。该模式中的信息从数据密集型到知识密集型不等。决策支持系统的评估是这类系统开发的一个非常重要的阶段。应对程序的准确性、系统的性质、数据的使用情况和目标用户的接受程度进行评价。无论模型是什么,它的有效性将取决于程序必须使用的数据。医生的接受程度取决于用户界面的易用性。联机计算机通信的迅速发展,以及综合临床决策支持系统和电子病历的发展,将引起医疗保健服务的深刻变化。尽管计算机技术发展迅速,但计算机辅助决策还处于起步阶段,在日常实践中还没有得到真正的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computer-based clinical decision aids. A review of methods and assessment of systems.

During the last three decades a great deal of research has been devoted to the development of integrated clinical decision support systems. This report aims to give a basic understanding of what is required for such a system. By means of a large literature study a survey is given of the major components of computer-based clinical aid systems. The main approaches and several aspects of evaluation of such programs are described. The computer has several inherent capabilities which are suitable for medical problem solving and can help in the formalization of medical knowledge. The components of such systems include the computer database, the reasoning engine and the user interface. The different approaches on which the reasoning engine is built are based on manipulation of information and advocate the use of knowledge to construct a solution to a problem. The information in the mode vary from data-intensive to knowledge-intensive. Assessment of decision support systems is a very important phase in the development of such systems. Evaluation should be made on the accuracy of the program, the nature of the system, the use of the data and the acceptance by the target users. Whatever the model is, its effectiveness will depend on the data with which the program has to work. Acceptance by physicians depends among other things on ease of use of the user interface. Profound changes in the delivery of health care will be induced through the rapid growth of on-line computer communication together with the development of integrated clinical decision support systems and electronic medical records. Notwithstanding the rapid growth of computer technology, computer-aided decision making is in its infancy and real support in daily practice is not yet achieved.

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