house-chimney-medicalCMS Data Feeds Dataset

About the Dataset

The CMS Data Feeds Dataset is a comprehensive collection of all current and future CMS data feeds available on cms.data.gov. This dataset transforms each feed into a view, aligning all feed file attributes and casting them to appropriate datatypes. The views are automatically updated when new feed files arrive, and new views are included as CMS publishes new data feeds.

As of May 2026, the dataset encompasses 261 feeds and 4,834 feed files.

See the full list of feeds in the CMS Data Feeds Catalog.

Dataset Features

  • 224 billion records and growing

  • 261 feeds with automatic addition of new feeds

  • 9,583 feed attributes

  • 19 years of historical data

  • 1.2 TB of data, continuously expanding

  • Daily updates to ensure data freshness

  • Automatic quality checks and active monitoring

  • Designed for seamless ingestion

Data Quality and Maintenance

Dataplex Consulting & Data Products prioritizes data quality through:

  • Automated data quality checks in all pipelines

  • Daily monitoring of ingestion and ETL jobs

  • Timely updates whenever CMS publishes new data

  • Rigorous processes to ensure data integrity and reliability

Business Applications

Users can leverage this dataset for various purposes, including:

  • Enriching or augmenting existing datasets

  • Analyzing published feed metrics over time

  • Performing segmentation analysis

  • Training machine learning models

  • Conducting geospatial analysis

  • Tracking healthcare trends and performance metrics

Example Use Cases

  • Analyze telehealth adoption trends across different states

  • Evaluate the financial performance of home health agencies

  • Track Medicare spending patterns by drug or geography

  • Assess hospital performance metrics and patient satisfaction scores

  • Monitor healthcare-associated infections across facilities

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Data Structure

The dataset consists of three main components:

  1. FEEDS: Contains metadata about each CMS data feed

  2. FEEDS_FILES: Stores information about individual files within each feed

  3. Feed-specific views: Separate views for each feed (e.g., PatientReported_Outcomes, Medicare_Spending)

Entity Relationship Diagram

CMS Data Feeds Structure

Sample Queries

Get CMS Feeds to Table Mapping

Find all Feed Views Related to Medicare

Query All 2021 File Records for Medicare Inpatient Hospitals

📊 Recent Feed File Updates

Recent CMS feed file updates (last 30 days)

Date
Feed
Data Period

5/12/2026

5/3/2026 to 5/9/2026

5/7/2026

4/26/2026 to 5/2/2026

5/5/2026

4/26/2026 to 5/2/2026

5/1/2026

5/1/2026 to 5/31/2026

4/30/2026

4/19/2026 to 4/25/2026

4/28/2026

4/19/2026 to 4/25/2026

4/24/2026

4/12/2026 to 4/18/2026

4/23/2026

1/1/2026 to 1/31/2026

4/21/2026

4/12/2026 to 4/18/2026

4/21/2026

4/5/2026 to 4/18/2026

4/20/2026

4/1/2026 to 6/30/2026

4/20/2026

4/1/2026 to 6/30/2026

4/20/2026

4/1/2026 to 6/30/2026

4/20/2026

1/1/2026 to 3/31/2026

4/20/2026

4/1/2026 to 4/30/2026

4/20/2026

4/1/2026 to 4/30/2026

4/20/2026

4/1/2026 to 6/30/2026

4/20/2026

4/1/2026 to 6/30/2026

4/20/2026

4/1/2026 to 6/30/2026

4/20/2026

3/1/2026 to 3/31/2026

4/17/2026

4/5/2026 to 4/11/2026

4/16/2026

1/1/2026 to 12/31/2026

4/14/2026

4/5/2026 to 4/11/2026

4/13/2026

1/1/2023 to 12/31/2023

🆕 Recently Added Feeds

Prepaid Shared Savings Spend Plan (Added: May 2026)

What's in this data: The Prepaid Shared Savings (PSS) Spend Plan data provides insights into payment usage, spending categories, and the projected versus actual spending of prepaid shared savings by Accountable Care Organizations (ACOs). This data is significant for assessing how ACOs allocate their resources towards healthcare services and interventions.

How you can use it:

  • Evaluate the effectiveness of spending categories in improving patient outcomes.

  • Analyze trends in projected versus actual spending to better forecast future budgets.

  • Identify high-cost areas and optimize resource allocation for ACOs.

Example Queries:

This query shows the breakdown of spending by general category for the year 2026.

This query shows the number of entries and total spending for each beneficiary group in 2026.

CMS Program Statistics - Medicare SNF Utilization by Facility Type and Bedsize (Added: April 2026)

What's in this data: This data feed provides insights into the utilization of Skilled Nursing Facilities (SNFs) under Medicare, detailing program payments and cost-sharing across different facility types and bed sizes. It is significant for understanding trends in SNF utilization and financial implications for both providers and beneficiaries.

How you can use it:

  • Analyzing trends in SNF admissions by bed size to identify potential resource needs.

  • Evaluating program payments and cost-sharing patterns across different types of SNFs.

  • Assessing the impact of hospital-based versus non-hospital-based SNFs on overall Medicare spending.

Example Queries:

This query calculates the total program payments and admissions for each SNF type and bed size.

This query finds the average covered days of care per person with utilization by SNF type.

CMS Program Statistics - Medicare SNF Utilization by Covered Days of Care (Added: April 2026)

What's in this data: This data feed provides detailed statistics on Medicare Skilled Nursing Facility (SNF) utilization, including program payments and cost sharing categorized by length of stay. It is significant for understanding the distribution of care across different beneficiary types and days of care, enabling better resource allocation and policy-making.

How you can use it:

  • Analyzing trends in Medicare SNF utilization over different lengths of stay to identify areas for improvement in patient care.

  • Evaluating program payments and cost-sharing amounts to assess financial impacts on beneficiaries and the Medicare system.

  • Comparing utilization patterns between aged and disabled beneficiaries to inform targeted healthcare policies.

Example Queries:

This query shows the total number of covered admissions and days of care aggregated by beneficiary type for the latest data.

This query shows the average program payments per covered admission for each days of care bucket for the latest data.

📋 View the complete CMS Data Feeds Catalog


Get Started

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Includes

All 232 feeds, daily updates, full documentation

Support

Email support included

Cancellation

Cancel anytime, no long-term commitment

Support and Contact

For questions or assistance with the CMS Data Feeds Dataset, please contact:

Email: [email protected]envelope

The Dataplex Consulting & Data Products team monitors ingestion and ETL jobs daily to ensure quality and timely delivery.

About Dataplex

Dataplex Consulting & Data Products delivers turnkey, analytics-ready data products that make complex public and commercial data easy to use across modern data platforms. Our data pipelines include automated quality checks and active monitoring to ensure timely, reliable, and well-structured data that is ready for downstream analytics, machine learning, and operational use.

In addition to data products, Dataplex provides data engineering and analytics consulting services to organizations of all sizes. We bring deep, hands-on experience supporting both early-stage companies and large enterprises, helping teams build scalable data platforms, improve data reliability, and become more data-driven.

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