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利用诊断来描述人群并预测成本。

Using diagnoses to describe populations and predict costs.

作者信息

Ash A S, Ellis R P, Pope G C, Ayanian J Z, Bates D W, Burstin H, Iezzoni L I, MacKay E, Yu W

机构信息

Boston Medical Center, Mass., USA.

出版信息

Health Care Financ Rev. 2000 Spring;21(3):7-28.

Abstract

The Diagnostic Cost Group Hierarchical Condition Category (DCG/HCC) payment models summarize the health care problems and predict the future health care costs of populations. These models use the diagnoses generated during patient encounters with the medical delivery system to infer which medical problems are present. Patient demographics and diagnostic profiles are, in turn, used to predict costs. We describe the logic, structure, coefficients and performance of DCG/HCC models, as developed and validated on three important data bases (privately insured, Medicaid, and Medicare) with more than 1 million people each.

摘要

诊断成本组分层疾病分类(DCG/HCC)支付模型总结了医疗保健问题,并预测了人群未来的医疗保健成本。这些模型利用患者在与医疗服务系统接触过程中产生的诊断信息来推断存在哪些医疗问题。反过来,患者人口统计学和诊断概况被用于预测成本。我们描述了DCG/HCC模型的逻辑、结构、系数和性能,这些模型是在三个重要数据库(私人保险、医疗补助和医疗保险)上开发并验证的,每个数据库都有超过100万人。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f348/4194673/b3a9cb2172c2/hcfr-21-3-007-g001.jpg

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