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基于计算机的诊断决策

Computer-based diagnostic decisionmaking.

作者信息

Miller R A

机构信息

Department of Medicine, University of Pittsburgh, School of Medicine, PA 15261.

出版信息

Med Care. 1987 Dec;25(12 Suppl):S148-52. doi: 10.1097/00005650-198712001-00016.

DOI:10.1097/00005650-198712001-00016
PMID:3323684
Abstract

The three decisionmaking aids described by the authors attack the generic problem of "see no evil, hear no evil, speak no evil"--improving the detection, diagnosis, and therapy of psychiatric disorders in the primary care setting. The three systems represent interventions at different steps in the process of providing appropriate care to psychiatric patients. The DSPW system of Robins and Marcus offers the potential of increasing the recognition of psychiatric disease in the physician's office. Politser's IDS program is representative of the sort of sophisticated microcomputer-based decisionmaking support tools that will become available to physicians in the not-too-distant future. Erdman's study of the impact of explanation capabilities on the acceptability of therapy recommending systems points out the need for careful scientific evaluations of features added to diagnostic and therapeutic systems.

摘要

作者描述的三种决策辅助工具针对的是“看不见邪恶,听不见邪恶,说不出邪恶”这一普遍问题——改善基层医疗环境中精神疾病的检测、诊断和治疗。这三个系统代表了在为精神科患者提供适当护理过程中不同阶段的干预措施。罗宾斯和马库斯的DSPW系统有潜力提高医生办公室对精神疾病的识别率。波利策的IDS项目代表了那种复杂的基于微型计算机的决策支持工具,在不久的将来医生将可以使用。厄德曼关于解释能力对治疗推荐系统可接受性影响的研究指出,需要对诊断和治疗系统中新增的功能进行仔细的科学评估。

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