评估在医疗保险公司的医疗索赔流程中使用计算智能技术

Flávio H. D. Araújo, Lailson B. Moraes, A. Santana, P. S. Neto, P. Adeodato, E. Leão
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引用次数: 1

摘要

巴西拥有世界上最大的私人医疗保健市场之一。然而,我们的健康保险公司的许多指标(包括咨询、检查、住院等)似乎远远高于既定的国际标准。这表明许多预约和检查是在不必要的情况下进行的,给企业带来了不必要的费用,并使所提供的服务更加昂贵。在本文中,计算智能技术被用于模拟医学审稿人的行为-评估是否应该允许医疗请求的专业人员。为了生成知识,使用了一家非营利性健康保险公司的数据库,其中包含自2007年以来收集的100多万条记录。提出了有希望的实验结果,表明所使用的技术可以支持医学审稿人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of the use of computational intelligence techniques in medical claim processes of a health insurance company
Brazil has one of the largest private healthcare markets in the world. However, it appears that many indicators of our health insurance companies (including consultations, tests, hospitalizations, etc.) are well above the established international standards. This indicates that many appointments and tests are being carried out without need, generating unnecessary costs on businesses and making the service offered more expensive. In this paper, computational intelligence techniques were used to model the behavior of medical reviewers - professionals who assess whether medical requests should be allowed or not. For the generation of knowledge, a database from a nonprofitable health insurance company containing more than one million records collected since the year 2007 was used. Promising experimental results are presented, indicating that the techniques used can support medical reviewers.
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