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A problem-oriented approach to journal selection for hospital libraries.

机译:一种面向问题的医院图书馆期刊选择方法。

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摘要

This paper describes a problem-oriented approach to journal selection (PAJS), including general methodology, theoretical terms, and a brief description of results when the system was applied in three different hospitals. The PAJS system relates the objective information which the MEDLARS data base offers about the universe of biomedical literature to objective, problem-oriented information supplied by the hospital's medical records. The results were manipulated quantitatively to determine (1) the relevance of various journals to each of the hospital's defined significant information problems and (2) the overall utility of each journal to the institution as a whole. The utility information was plotted on a graph to identify the collection of journal titles which would be most useful to the given hospital. Attempts made to verify certain aspects of the whole process are also described. The results suggest that the methodology is generally able to provide an effective library response. The system optimizes resources vis-a-vis information and can be used for both budget allocation and justification. It offers an algorithm to which operations researchers can apply any one of a variety of mathematical programming methods. Although originally intended for librarians in the community hospital environment, the PAJS system is generalizable and has application potential in a variety of special library settings.
机译:本文介绍了一种面向问题的期刊选择(PAJS)方法,包括一般方法,理论术语以及对该系统在三家不同医院中的应用结果的简要说明。 PAJS系统将MEDLARS数据库提供的有关生物医学文献的客观信息与医院病历提供的客观,面向问题的信息联系起来。对结果进行定量处理,以确定(1)各种期刊与医院所定义的每个重大信息问题的相关性;以及(2)每种期刊对机构的整体效用。实用信息绘制在图表上,以标识对特定医院最有用的期刊标题的集合。还描述了验证整个过程某些方面的尝试。结果表明,该方法通常能够提供有效的库响应。该系统针对信息优化了资源,可用于预算分配和理由。它提供了一种算法,操作研究人员可以将其应用多种数学编程方法中的任何一种。尽管PAJS系统最初是为社区医院环境中的图书馆员设计的,但它具有通用性,并在各种特殊的图书馆设置中具有应用潜力。

著录项

  • 期刊名称 The Aesculapian
  • 作者

    B S Delman;

  • 作者单位
  • 年(卷),期 1982(70),4
  • 年度 1982
  • 页码 397–410
  • 总页数 14
  • 原文格式 PDF
  • 正文语种
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 16:30:45

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