Million Hearts® Cardiovascular Disease Risk Reduction (Million Hearts®) Model Raw Clinical File

The Raw Clinical file contains all visit and clinical data that was uploaded to the model’s data collection registry. This data is preserved as it was uploaded, therefore it may contain data that is not relevant for the Million Hearts® registry as the measures are defined. The file is at the clinical data element level and contains one row per clinical data element per beneficiary, using industry standard codes.

Note that this file excludes all manually entered data in the Million Hearts® registry.

What does this file include? (variable highlights)

  • Beneficiary ID
  • Model-Assigned Practice ID
  • Model-Assigned Patient ID
  • Provider NPI
  • Activity Date
  • Activity End Date
  • Provider NPI
  • Clinical Service Procedure Code
  • Clinical Service Procedure Modifier
  • Service Units

A record represents one clinical data element per beneficiary. Beneficiaries that have multiple clinical data elements will have multiple records.

The Unique Model-Assigned Patient ID can be used to link to other Million Hearts® beneficiary files (demographic, visit, and alignment), but cannot link to other CCW non-Million Hearts® files.

The Model-Assigned Practice ID can be used to link all Million Hearts® data files for provider-oriented analytics. It does not link to other CCW provider data.

The Beneficiary ID can be linked to other beneficiary records in this dataset and other CCW Medicare data.

The NPI can be linked to other records with NPI in this dataset and other CCW Medicare data.

Million Hearts® Cardiovascular Disease Risk Reduction Model

The Million Hearts® Cardiovascular Disease (CVD) Risk Reduction Model was a randomized controlled trial that sought to bridge a gap in cardiovascular care by providing targeted incentives for health care practitioners to engage in beneficiary CVD risk calculation and population-level risk management. Instead of focusing on the individual components of risk, participating organizations engaged in risk stratification across a beneficiary panel to identify those at highest risk for atherosclerotic cardiovascular disease (ASCVD).

The Million Hearts® Cardiovascular Disease Risk Reduction Model used data-driven predictive modeling approaches to generate individualized risk scores and mitigation plans for eligible Medicare fee-for-service beneficiaries.

The data from the trial is released as a suite of seventeen linked data files. The data include detailed information about the beneficiaries, physician practices, specific providers and clinic visits. The files do not contain names, street addresses or contact information. However, they can be linked to other CMS files through the CCW beneficiary ID.

The following data files are included in the model:

  • Raw Clinical File - all visit and clinical data for beneficiaries as it was uploaded to the data collection registry by the provider
  • Final Clinical File - a model-curated version of the raw clinical data
  • Beneficiary Demographic File - demographic data submitted by the practice
  • Visit File – All data extracted to create a beneficiary visit, and includes the generated risk scores and baseline groups for each participating beneficiary
  • Practice List File - information about practices enrolled in the model
  • Provider List File - information about the providers (National Provider Identifiers) enrolled in the model
  • Alignment Files (11) – Point-in-time beneficiary alignment and program eligibility determination analytic file. This alignment validation process occurred semi-annually throughout the duration of the model.

For more information on the Million Hearts® Cardiovascular Disease Risk Reduction Model, visit the CMS Innovation Center website.

Abigail Franklin, MPH

Abigail Franklin joined ResDAC in February 2023.  She has prior experience as a Policy Analyst and a Mental Health Program & Policy Consultant for the Minnesota Department of Human Services as well as a provider of community mental health services.  Abigail earned a BA in Sociology from Cornell College and a Master's of Public Health in Public Health Administration and Policy with a concentration in Global Health from the University of Minnesota.  She served as a Peace Corps Volunteer in the Republic of Moldova where her interest in public health was sparked.

2021 Preliminary Medicaid and CHIP Data Now Available

CMS is pleased to announce the availability of Preliminary Medicaid T-MSIS Analytic Files (TAFs) for calendar year 2021. The TAF research files* contain data on Medicaid and Children's Health Insurance Program (CHIP) beneficiary demographics, program enrollment, service use, and payments. They are designed to meet the diverse research needs of the Medicaid and CHIP data user community.

2020 Medicare Advantage (Part C) Encounter Data Now Available

CMS is pleased to announce the availability of updated 2020 Medicare Advantage (Part C) Encounter data. In June 2022, CMS released a “Preliminary” version of the 2020 Medicare Advantage (MA) Encounter RIFs to give researchers earlier access to Encounter data for that service year. The Preliminary 2020 RIF data was not fully mature because Medicare Advantage Organizations (MAOs) were still submitting encounter records for that service year to CMS.

Subscribe to