一个新的机器学习算法,用于创建风险调整的支付公式
Corinne Andriola1, Randall P Ellis2, Jeffrey J Siracuse3
1Center for Innovation in Population Health, College of Public Health, University of Kentucky, Lexington.
JAMA health forum
|April 19, 2024
概括
这项研究开发了一种机器学习算法,使用诊断代码改进医疗保健支出预测. 新模型为决策者和临床医生提供了更加准确和透明的风险预测.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 医疗信息学 医疗信息学
- 医疗保健中的机器学习
背景情况:
- 行政索赔数据对于医疗管理和支付至关重要,但在预测支出方面存在局限性.
- 现有的模型很难将大量的诊断纳入其中,而不会激励不良的编码做法.
- 需要先进的方法来提高医疗保健支出预测的准确性和透明度.
研究的目的:
- 开发一种机器学习 (ML) 算法,自动创建临床可信和透明的医疗保健支出预测模型.
- 该算法基于诊断项目 (DXI) 类别和诊断成本组 (DCG) 方法.
- 目标是为决策者和临床医生提供更好的工具.
主要方法:
- 诊断项目 (DXI) 被组织成疾病层次结构,并以适宜包括 (ATI) 评分来解决模糊性和可玩性.
- 一个新的自动化DCG算法反复地将DXI分配给DCG,根据回归系数识别主导DXI.
- 使用了Merative MarketScan商业索赔和遭遇数据库 (2016年1月至2018年12月),数据分为模型开发 (90%) 和验证 (10%).
主要成果:
- 开发的算法实现了218个临床医生指定的层次结构,超过了美国卫生和人类服务部 (HHS) 层次状况类别 (HCC) 模型中的64个层次结构.
- 基本模型排除了模糊和可玩的DXI,降低了80%的参数,并实现了0.535.5的R2.
- 该模型预测罕见疾病的实际成本的12%内支出,显著超过HHS HCC模型,该模型为该群体支付的费用低于33%.
结论:
- 自动化DXI集群在临床指定的层次结构内,可以从大数据集创建可解释的风险模型.
- 该算法有效地解决了在预测建模中关于诊断模糊性和可玩性的担忧.
- 这种方法提供了一种更准确,更透明的方法来预测医疗保健支出和结果.
相关概念视频
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
53
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
53
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
126
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
126
Actuarial Approach
77
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
77
Pre-Procedural Guidelines for Assessing Blood Pressure
563
Accurate blood pressure assessment is crucial for diagnosing and managing various health conditions. To ensure the reliability of these measurements, healthcare professionals must adhere to standardized pre-procedural guidelines. These guidelines enhance patient safety and improve the overall quality of healthcare. The following steps are essential for obtaining accurate and consistent blood pressure readings, from using the appropriate tools to ensuring effective communication with the...
563
Health Information Technology and Healthcare Information System
836
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
836
Issues And Trends In Healthcare Delivery System
5.6K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.6K


