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Transparency in Hospital Prices Dataset
Overview
The Transparency in Hospital Prices dataset provides insights into the costs of medical procedures across healthcare providers and insurers in the United States. This dataset is derived from an initiative by the Centers for Medicare & Medicaid Services (CMS) that mandates hospitals to publicly disclose their pricing information.
About the Dataset
- Source: Centers for Medicare & Medicaid Services (CMS)
- Compilation: Organized by Alex Stein from DoltHub
- Size: Over 300 million rows collected from 1,800+ hospitals
- Purpose: To enable consumers to compare medical costs and estimate care expenses before receiving treatment.
Dataset Features
This dataset includes:
- Pricing details for various medical procedures
- Charges for different insurers vs. cash payments
- Variations in costs across different hospitals
- Transparency insights into hospital billing practices
Importance
While hospitals comply with the law to disclose prices, comparing costs remains challenging. This dataset aims to enhance price transparency by consolidating and standardizing hospital pricing information.
Potential Use Cases
- Healthcare Cost Analysis: Identify pricing trends and disparities in medical procedures.
- Insurance Comparisons: Assess variations in charges between insurers and self-pay patients.
- Economic Research: Investigate the impact of price transparency regulations on healthcare costs.
- Consumer Tools: Develop applications to help patients compare procedure costs across hospitals.
Accessing the Dataset
You can download the dataset from DoltHub or other data-sharing platforms where it has been published.
License & Citation
- License: Ensure compliance with the dataset's usage policies as per CMS guidelines.
- Citation: If using this dataset, credit Alex Stein and DoltHub for their efforts in compiling the data.
Contact & Contributions
For questions, collaborations, or updates regarding this dataset:
- CMS Website: https://www.cms.gov
- DoltHub Repository: Check for updates and community discussions.
Empowering patients with data for informed healthcare decisions.
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