基于智能信息系统的医疗费用研究

D. Riaño, S. Prado
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引用次数: 1

摘要

公共卫生系统的医院成本分析是一项艰巨的任务,使用诊断相关组(DRGs)试图简化这一任务。20多年后,drg仍在使用,尽管它们受到了重要的批评。本文介绍了一种新的计算机系统COSYS (COsting SYStem),它包含了一些人工智能程序,作为研究医院成本的工具,并验证DRGs是否接近特定医院的实际情况。研究了七个具有代表性的drg,并提出了研究结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The study of medical costs with intelligent information systems
The analysis of hospital costs in public health-care systems is a difficult task that the use of diagnosis-related groups (DRGs) has tried to simplify. After more than two decades, DRGs are still used, though they have had important criticisms. In this paper, COSYS (COsting SYStem), a new computer system that incorporates some AI procedures, is introduced as a tool to study hospital costs and also to validate whether DRGs are close to the reality of a particular hospital. Seven representative DRGs are studied and the conclusions from the study are set out.
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