CMS Data Feeds Dataset

# CMS Data Feeds: Medicare & Medicaid Analytics

## Databricks Marketplace Listing

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## Overview

Access **140+ CMS data feeds** with **37B+ records** covering Medicare, Medicaid, and healthcare quality metrics. This comprehensive dataset transforms all current and future CMS data feeds from data.cms.gov into analysis-ready views, automatically updated as new files are published.

**Dataset Size:** 500+ GB | **37B+ records** | **Updated daily**

> **[Start Free Trial](https://trial.dataplex-consulting.com)** | **[Purchase Full Access](https://checkout.dataplex-consulting.com/b/3cIdR2e1J59Sh2w7pWbQY00)**

### What's Included

- **140+ data feeds** - All major CMS data sources in standardized views
- **1,700+ report files** - Historical versions for trend analysis
- **Medicare Part D** - Drug spending, utilization, and prescriber data
- **Hospital Compare** - Quality metrics, outcomes, and patient experience
- **Provider data** - Enrollment, utilization, and payment information
- **Geographic data** - State, county, and zip code level statistics
- **Telehealth metrics** - Virtual care utilization and trends
- **Opioid data** - Prescribing rates and geographic patterns

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## Use Cases

### Healthcare Analytics
- **Medicare spending analysis**: Track drug costs and utilization trends
- **Hospital benchmarking**: Compare quality metrics across facilities
- **Provider profiling**: Analyze utilization patterns by provider
- **Geographic insights**: Map healthcare patterns by region

### Health Plans & Payers
- **Network analysis**: Evaluate provider performance metrics
- **Cost forecasting**: Model future Medicare enrollment and spending
- **Quality programs**: Track value-based care metrics
- **Risk adjustment**: Support population health management

### Life Sciences & Pharma
- **Market access**: Analyze Medicare drug coverage and spending
- **Competitive intelligence**: Track market share by therapeutic area
- **Pricing analysis**: Monitor drug pricing trends over time
- **HCP targeting**: Identify high-prescribing providers

### Research & Policy
- **Trend analysis**: Study long-term healthcare utilization patterns
- **Policy evaluation**: Measure impact of CMS program changes
- **Health equity**: Analyze disparities in access and outcomes
- **Predictive modeling**: Train ML models on CMS metrics

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## Data Quality & Updates

- **Source**: CMS data.cms.gov and related CMS data sources
- **History**: Complete historical files with version tracking
- **Updates**: Daily automated processing as new files are published
- **Schema alignment**: All feeds normalized to consistent data types
- **Future-proof**: New CMS feeds automatically added to dataset

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## Getting Started

### Start a Free Trial

Get 14 days of access to explore the CMS Data Feeds dataset:

**[Start Free Trial](https://trial.dataplex-consulting.com)**

Trial includes:
- Access to all 140+ feed views with sample data
- Complete feed metadata catalog
- Databricks notebook with example queries

### Get Full Access

Ready for production use? Get unlimited access to all CMS data feeds:

**[Purchase Full Access](https://checkout.dataplex-consulting.com/b/3cIdR2e1J59Sh2w7pWbQY00)**

Full access includes:
- Complete access to all 140+ data feeds
- All 37B+ records with full history
- 1,700+ historical report files
- Daily updates as CMS publishes new data
- Automatic inclusion of new CMS feeds

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## Example Analyses

- **Medicare spending by drug over time** - Track Part D trends
- **Hospital comparison by provider** - Benchmark inpatient facilities
- **Telehealth utilization trends** - Monitor virtual care adoption
- **Opioid prescribing by geography** - Map prescription patterns
- **Medicare enrollment forecasting** - Predict future enrollment

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## Documentation & Support

- **Full Documentation**: [docs.dataplex-consulting.com/cms-data-feeds-dataset](https://docs.dataplex-consulting.com/data-catalog/cms-data-feeds-dataset)
- **Data Dictionary**: Comprehensive field-level documentation
- **Sample Notebooks**: Ready-to-run Databricks notebooks
- **Support**: [e-mail]

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*Data provided by Dataplex Consulting | [dataplex-consulting.com](https://dataplex-consulting.com)*