医学科研开发的信息支持:途径与对策

IF 0.2 Q4 INFORMATION SCIENCE & LIBRARY SCIENCE
E. D. Dreytser, N. Lopatina
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引用次数: 0

摘要

讨论了信息分析的智能化;特别地,他们分析了通过建立的数据库系统和科克兰学术网络(科克兰学术网络)提供医学信息支持的经验。作者基于对临床试验结果进行系统评价的个人经验,在目录学和信息学的学科领域中重构和探索了科克兰信息分析方法(模型)。本研究的目的是揭示信息分析工具在医学领域的潜力和质量,并探讨其在其他领域的适应性和局限性的可行性和可能性。本研究以目录学与资讯分析的学科方法、资讯学方法及应用资讯学的理论工具为基础。通过信息分析、专业用户导向和知识管理的棱镜,应用结构功能和迭代方法来研究科克兰。揭示了用于证据医学目的的元分析产品的用户质量和性能的因素;其中,来源选择方法,数据处理,程序和组织模型,批判性审查,以及用户差异化呈现信息搜索结果。循证医学中元分析信息产品构建的分析能够识别信息研究中方法论问题的范围和有前途的载体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Information support of scientific research and development in medicine: The approaches and solutions
The authors discuss intellectualization of information analytics; in particular, they analyze the experience of medicine information support through the established system of databases and services of the Coсkrane Collaboration (Cockrane academic network). The authors reconstruct and explore the Cockrane method (model) of information analysis within the subject field of bibliography and informatics based on one of the authors’ personal experience of building systematic reviews of clinical trial results. The goal of the study is to reveal the potential and quality of the information analysis tools within the field of medicine, as well as to explore the feasibility and possibility of their adaptation and limitations in other fields. The study is based on the subject approach in bibliography and information analytics, informological approach, and theoretical tools of applied informatics. The structural functional and iterative methods were applied to study Cockrane through the prism of information analytics, professional user orientation, and knowledge management. The factors of user quality and performance of meta-analytical products for the purposes of evidence medicine are revealed; among them, source selection methods, data processing, procedural and organizational models, critical reviewing, and user differentiation in presenting information search findings. The analysis of meta-analytical information product building in evidence medicine enables to identify the range of methodological problems and promising vectors in the information studies.
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