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Decision Support System for Medical Care Quality Assessment Based on Health Records Analysis in Russia

机译:基于俄罗斯健康记录分析的医疗保健质量评估决策支持系统

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The paper presents developed decision system, oriented for healthcare providers. The system allows healthcare providers to detect and decrease nonconformities in health records and forecast the sum of insurance payments taking into account nonconformities. The components are ISO13606, fuzzy logic and case-based reasoning concept. The result of system implementation allowed to 10% increase insurance payments for healthcare provider. Medical care process in Russia was unified [1] and medical standards were implemented. Standard describes the necessary medical services and drug prescriptions for groups of diagnoses. Medical services contain coefficients, which determine the probability of application. This fact identifies medical standard as reference document with uncertainty and makes fuzzy logic [2] as a relevant tool to work with them. Medical organizations (MO) have to provide their activity with standards. Insurance companies (IC) makes evaluation for MO's medical care by inspecting health records. On the result of evaluation, IC makes an invoice document that contains data of insurance payment for a medical service. However, this evaluation can be based not only on standards, but also on medical expert's personal experience. Expert produces a document, which presents all nonconformities. This document evaluates the quality of medical care specifies the sum of insurance payments for the analyzed treatment case. Medical care quality assessment based on health records evaluation by expert. Expert can evaluate using medical standards (explicit knowledge) and personal experience (implicit knowledge). In the Russian practice, the use of implicit knowledge is more common. We propose a concept of a decision support system for medical aid quality management, which allows healthcare providers to detect and reduce medical nonconformities in health records taking into account uncertainty and forecast the sum of insurance payments.
机译:本文提出了为医疗保健提供者为导向的制定决策系统。该系统允许医疗保健提供商检测和减少健康记录的不合格,并预测考虑到不合格的保险金额。组件是ISO13606,模糊逻辑和基于案例的推理概念。系统实施的结果允许增加医疗保健提供者的保险金。俄罗斯的医疗过程是统一[1]和医疗标准的实施。标准描述了诊断组必要的医疗服务和药物处方。医疗服务包含系数,可确定应用概率。此事实将医疗标准识别为具有不确定性的参考文档,并使模糊逻辑[2]作为与其合作的相关工具。医疗组织(MO)必须提供与标准的活动。保险公司(IC)通过检测健康记录对Mo的医疗保健进行评估。根据评估结果,IC制作一个发票文件,其中包含医疗服务的保险金数据。但是,这种评估不仅基于标准,而且还基于医学专家的个人经验。专家生产一份文件,这提出了所有不合格。本文件评估医疗保健质量规定了分析的待遇案例的保险金额。基于健康记录专家评估的医疗保健质量评估。专家可以使用医疗标准(明确知识)和个人经验(隐式知识)进行评估。在俄语实践中,使用隐含的知识更为常见。我们提出了一种决策支持系统的概念,用于医疗援助质量管理,使医疗保健提供者能够考虑到不确定性并预测保险费的健康记录中的医学不合格。

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