Medicare Health Plan Models

**Overview** This data package shows the Co-Morbidity Among Chronic Conditions, Inpatient Admission ER Visit Zip Code and Value-Based Insurance Design Model by the Centers for Medicare and Medicaid Services (CMS). **Description** This data package provides an overview of chronic conditions with co-morbidity among Medicare FFS beneficiaries. The dataset contains information on selected chronic health conditions in the Medicaid population at the zip code level and Medicare Advantage Value-Based Insurance Design Model. Model is an opportunity for Medicare Advantage plans to offer supplemental benefits or reduced cost-sharing to enrollees with Centers for Medicare & Medicaid Services (CMS)-specified chronic conditions, focused on the services that are of highest clinical value to them. **Benefits** - Useful for providers for the use in the management of different chronic conditions. **License Information** The use of John Snow Labs datasets is free for personal and research purposes. For commercial use please subscribe to the [Data Library](https://www.johnsnowlabs.com/marketplace/) on John Snow Labs website. The subscription will allow you to use all John Snow Labs datasets and data packages for commercial purposes. **Included Datasets** - [Co-Morbidity Among Chronic Conditions for Medicare FFS Beneficiaries](https://www.johnsnowlabs.com/marketplace/co-morbidity-among-chronic-conditions-for-medicare-ffs-beneficiaries) - This dataset provides an overview of chronic conditions with co-morbidity among Medicare FFS beneficiaries. Prevalence and Medicare spending are presented for chronic condition co-morbidity at the national level. Co-morbidity is illustrated by the combinations of the 19 chronic conditions. - [Medicaid Chronic Condition Inpatient Admission ER Visit Zip Code](https://www.johnsnowlabs.com/marketplace/medicaid-chronic-condition-inpatient-admission-er-visit-zip-code) - Medicaid is a state and federal program that provides health coverage for people having a very low income. The dataset contains information on selected chronic health conditions in the Medicaid population at the zip code level. - [Medicare Advantage Value Based Insurance Design Model](https://www.johnsnowlabs.com/marketplace/medicare-advantage-value-based-insurance-design-model) - As part of the Health Plan Innovation Initiatives, the Medicare Advantage Value-Based Insurance Design (VBID) Model is an opportunity for Medicare Advantage plans to offer supplemental benefits or reduced cost sharing to enrollees with Centers for Medicare & Medicaid Services (CMS)-specified chronic conditions, focused on the services that are of highest clinical value to them. The model will test whether this can improve health outcomes and lower expenditures for Medicare Advantage enrollee. - [Medicare Health Outcomes Survey 2012 to 2014](https://www.johnsnowlabs.com/marketplace/medicare-health-outcomes-survey-2012-to-2014) - Medicare HOS (Health Outcomes Survey) Public Use data files (PUFs) contain the majority of the survey items collected on the HOS instrument (excluding beneficiary identifying information) as well as selected additional administrative variables. PUFs are used for research purposes and to facilitate the dissemination of data collected by the Medicare HOS project for additional research, PUFs have been created for each cohort (combined baseline and two year follow up) of data. - [Medicare Health Outcomes Survey 2013 to 2015](https://www.johnsnowlabs.com/marketplace/medicare-health-outcomes-survey-2013-to-2015) - Medicare HOS (Health Outcomes Survey) Public Use data files (PUFs) contain the majority of the survey items collected on the HOS instrument (excluding beneficiary identifying information) as well as selected additional administrative variables. PUFs are used for research purposes and to facilitate the dissemination of data collected by the Medicare HOS project for additional research, PUFs have been created for each cohort (combined baseline and two year follow up) of data. - [Medicare Health Outcomes Survey 2014 to 2016](https://www.johnsnowlabs.com/marketplace/medicare-health-outcomes-survey-2014-to-2016) - Medicare HOS (Health Outcomes Survey) Public Use data files (PUFs) contain the majority of the survey items collected on the HOS instrument (excluding beneficiary identifying information) as well as selected additional administrative variables. PUFs are used for research purposes and to facilitate the dissemination of data collected by the Medicare HOS project for additional research. PUFs have been created for each cohort (combined baseline and two-year follow-up) of data. **Data Engineering Overview** **We deliver high-quality data** - Each dataset goes through 3 levels of quality review - 2 Manual reviews are done by domain experts - Then, an automated set of 60+ validations enforces every datum matches metadata & defined constraints - Data is normalized into one unified type system - All dates, unites, codes, currencies look the same - All null values are normalized to the same value - All dataset and field names are SQL and Hive compliant - Data and Metadata - Data is available in both CSV and Apache Parquet format, optimized for high read performance on distributed Hadoop, Spark & MPP clusters - Metadata is provided in the open Frictionless Data standard, and its every field is normalized & validated - Data Updates - Data updates support replace-on-update: outdated foreign keys are deprecated, not deleted **Our data is curated and enriched by domain experts** Each dataset is manually curated by our team of doctors, pharmacists, public health & medical billing experts: - Field names, descriptions, and normalized values are chosen by people who actually understand their meaning - Healthcare & life science experts add categories, search keywords, descriptions and more to each dataset - Both manual and automated data enrichment supported for clinical codes, providers, drugs, and geo-locations - The data is always kept up to date – even when the source requires manual effort to get updates - Support for data subscribers is provided directly by the domain experts who curated the data sets - Every data source’s license is manually verified to allow for royalty-free commercial use and redistribution. **Need Help?** If you have questions about our products, contact us at [[e-mail]](mailto:[e-mail]).

搜集汇总

背景与挑战

背景概述

该数据集由美国医疗保险和医疗补助服务中心（CMS）提供，聚焦于慢性病共病分析、住院急诊数据以及基于价值的保险设计模型，旨在辅助医疗提供者管理多种慢性健康状况。它包含多个子数据集，覆盖医疗保险受益人的共病情况、医疗补助人群的慢性病信息以及不同年份的健康结果调查，为研究和临床决策提供支持。