CMS 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 March 2026, the dataset encompasses 241 feeds and 3,814 feed files.
See the full list of feeds in the CMS Data Feeds Catalog.
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Dataset Features
156 billion records and growing
241 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:
FEEDS: Contains metadata about each CMS data feed
FEEDS_FILES: Stores information about individual files within each feed
Feed-specific views: Separate views for each feed (e.g., PatientReported_Outcomes, Medicare_Spending)
Entity Relationship Diagram
Sample Queries
Get CMS Feeds to Table Mapping
Find all Feed Views Related to Medicare
Query All 2021 File Records for Medicare Inpatient Hospitals
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)
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🆕 Recently Added Feeds
Ambulatory Specialty Model Participants (Added: February 2026)
What's in this data: The Ambulatory Specialty Model (ASM) Participants dataset provides crucial information about clinicians participating in the ASM, including their identities, NPIs, cohorts, and performance years. This data is significant for tracking clinician participation and compliance in performance improvement initiatives.
How you can use it:
Analyze clinician participation rates over different performance years in ASM.
Identify trends in small practice participation within the Ambulatory Specialty Model.
Examine geographical distribution of ASM participants to target support and resources effectively.
Example Queries:
This query shows the count of participants by state for the latest performance year.
This query shows the number of small practices participating in ASM by year.
Medicare Quarterly Part B Spending by Drug (Added: December 2025)
What's in this data: This dataset provides insights into the spending patterns for drugs administered in outpatient settings to Medicare Part B enrollees. It includes detailed information about drug usage, clinical indications, and spending metrics, which are crucial for understanding the financial aspects of healthcare delivery.
How you can use it:
Analyze trends in spending for specific drugs over recent quarters to inform policy decisions.
Evaluate the average spending per beneficiary and per claim to identify potential cost-saving opportunities.
Compare drug spending metrics across different brands and generic names to assess market dynamics.
Example Queries:
This query retrieves the total spending and average spending per beneficiary for each drug across the latest quarter.
This query calculates the total number of beneficiaries and claims for each drug in the latest data, highlighting usage patterns.
Medicare Quarterly Part D Spending by Drug (Added: December 2025)
What's in this data: This dataset provides insights into the spending patterns for drugs prescribed to Medicare beneficiaries enrolled in Part D. It includes comprehensive metrics on drug costs, usage, and the number of beneficiaries, enabling stakeholders to analyze trends in pharmaceutical expenditures and healthcare resource allocation.
How you can use it:
Analyzing trends in drug spending over different quarters to identify cost increases or decreases.
Evaluating the impact of specific drugs on overall Medicare spending and utilization patterns.
Comparing spending metrics across different manufacturers to assess market dynamics and competition.
Example Queries:
This query shows the total spending on drugs by year and manufacturer, allowing for trend analysis over time.
This query shows the average spending per beneficiary for each drug, helping to identify high-cost medications.
📋 View the complete CMS Data Feeds Catalog
Get Started
CMS Medicare/Medicaid Data Access
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]
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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