Sold by: John Snow Labs
Deployed on AWS
This data package contains the data about the number of individuals and of the medical procedures undergone by the individuals in a year, procedures that can be categorized as cardiac diagnosis or treatment procedures. In this data package can be found useful statistics related to cardiac procedures, crude rates and the adjusted rates of procedures at Hospital Referral Region in most of the cases and for defibrillator insertion at State, Hospital Service Areas and County level also.
Overview
Overview
This data package contains the datasets source is The Dartmouth Atlas Project which uses and combines data from various sources like The Centers for Medicare and Medicaid Services (CMS), U.S. Census Bureau, The American Hospital Association, The American Medical Association, The National Center for Health Statistics, providing useful indicators to policymakers, healthcare analysists and to other interested parties helping them to improve their understanding of the efficiency and effectiveness of U.S. health care system. The Dartmouth Atlas Project provides useful measures related to some of the most common medical and interventional procedures for cardiovascular diseases, covered by Medicare. The indicators contained in this data package are for the following procedures:
- Outpatient ECG
- Inpatient routine ECG
- Cardiac Stress Test
- Coronary Angiography
- Percutaneous Transluminal Coronary Angioplasty
- Cardiac Echocardiogram
- Carotid Echocardiogram
- Implantable Defibrillator Insertion
License Information
The use of John Snow Labs datasets is free for personal and research purposes. For commercial use please subscribe to the Data Library on AWS. The subscription will allow you to use all John Snow Labs datasets and data packages for commercial purposes.
Metadata
| Description | Value |
|---|---|
| Data Package Complexity | Simple |
| Available Enrichments | N/A |
| Keywords | Medicare Beneficiaries, Cardiovascular Disease Diagnosis, Cardiovascular Disease Treatment, Cardiovascular Interventional Procedures, Cardiovascular Expected Procedures, Cardiovascular Procedures Rate, Observed Expected Ratio, Cardiovascular Patients, Hospital Referral Region, Medicare Covered Procedures |
| Other Titles | Medicare Covered Cardiovascular Procedures Rates by HRR, Medicare Cardiovascular Covered Procedures Utilization Rates, Cardiovascular Procedures Rates Among Medicare Beneficiaries |
Included Datasets
- Ambulatory ECG Monitoring per 1000 Medicare Enrollees HRR level 2012
The dataset gives information on Ambulatory Electrocardiography (ECG) monitoring rates of Medicare beneficiaries at Hospital Referral Regions (HRR) for year 2012. Hospitalization rates are the number of discharges that occurred in a definitive time period (the numerator) for a specific population (the denominator).
- Cardiac Echocardiogram per 1000 Medicare Enrollees HRR Level 2012
The dataset gives information on Cardiac echocardiogram rates of Medicare beneficiaries at Hospital Referral Regions (HRR) for the year 2012. Hospitalization rates are the counts for the discharges that occurred in a definitive time period (the numerator) for a specific population (the denominator).
- Cardiac Stress Testing per 1000 Medicare Enrollees HRR Level 2012
The dataset gives information on Cardiac Stress Testing rates of Medicare beneficiaries at Hospital Referral Regions (HRR) for the year 2012. Hospitalization rates represent the counts of the number of discharges that occurred in a definitive time period (the numerator) for a specific population (the denominator).
- Carotid Echocardiogram per 1000 Medicare Enrollees HRR Level 2012
The dataset gives information on Carotid Echocardiogram rates of Medicare beneficiaries at Hospital Referral Regions (HRR) for the year 2012. Hospitalization rates represent the counts of the number of discharges that occurred in a definitive time period (the numerator) for a specific population (the denominator).
- Coronary Angiography per 1000 Medicare Enrollees HRR Level 2012
The dataset gives information on Coronary Angiography rates of Medicare beneficiaries at Hospital Referral Regions (HRR) for the year 2012. Hospitalization rates represent the counts of the number of discharges that occurred in a definitive time period (the numerator) for a specific population (the denominator).
- Coronary Artery Stenting per 1000 Medicare Enrollees HRR Level 2012
The dataset gives information on Coronary Artery Stenting rates of Medicare beneficiaries at Hospital Referral Regions (HRR) for the year 2012. Hospitalization rates represent the counts of the number of discharges that occurred in a definitive time period (the numerator) for a specific population (the denominator).
- Implantable Defibrillator Insertion County Levels 2008 to 2012
The dataset gives information on Implantable Defibrillator Insertion rates of Medicare beneficiaries at County levels from years 2008 to 2012. Hospitalization rates represent the counts of the number of discharges that occurred in a definitive time period (the numerator) for a specific population (the denominator).
- Implantable Defibrillator Insertion HRR Levels 2008 to 2012
The dataset gives information on Implantable Defibrillator Insertion rates of Medicare beneficiaries at Hospital Referral Regions (HRR) from years 2008 to 2012. Hospitalization rates are the number of discharges that occurred in a definitive time period (the numerator) for a specific population (the denominator).
- Implantable Defibrillator Insertion HSA Levels 2008 to 2012
The dataset gives information on Implantable Defibrillator Insertion rates of Medicare beneficiaries at Hospital Services Area (HSA) levels from years 2008 to 2012. Hospitalization rates are the number of discharges that occurred in a definitive time period (the numerator) for a specific population (the denominator).
- Implantable Defibrillator Insertion State Levels 2008 to 2012
The dataset gives information on Implantable Defibrillator Insertion rates of Medicare beneficiaries at State levels for the year 2008 to 2012. Hospitalization rates are the number of discharges that occurred in a definitive time period (the numerator) for a specific population (the denominator).
- Pacemaker Insertion per 1000 Medicare Enrollees HRR Level 2012
The dataset gives information on Pacemaker Insertion rates of Medicare beneficiaries at Hospital Referral Regions (HRR) for the year 2012. Hospitalization rates represent the counts of the number of discharges that occurred in a definitive time period (the numerator) for a specific population (the denominator).
- Percutaneous Transluminal Coronary Angioplasty HRR level 2012
The dataset gives information on Percutaneous Transluminal Coronary Angioplasty rates of Medicare beneficiaries at Hospital Referral Regions (HRR) for the year 2012. Hospitalization rates are the number of discharges that occurred in a definitive time period (the numerator) for a specific population (the denominator).
- Routine ECG per 1000 Medicare Enrollees HRR Level 2012
The dataset gives information on Routine ECG rates of Medicare beneficiaries at Hospital Referral Regions (HRR) for the year 2012. Hospitalization rates represent the counts of the number of discharges that occurred in a definitive time period (the numerator) for a specific population (the denominator).
- Procedures Performed in Acute Hospitals by Treatment Setting
This dataset provides information about NHS procedures performed in acute hospitals by treatment across Scotland. It includes procedure, procedure type and admission type information for acute care hospital services.
Data Engineering Overview
We deliver high-quality data
- Each dataset goes through 3 levels of quality review
- 2 Manual reviews are done by domain experts
- Then, an automated set of 60+ validations enforces every datum matches metadata & defined constraints
- Data is normalized into one unified type system
- All dates, unites, codes, currencies look the same
- All null values are normalized to the same value
- All dataset and field names are SQL and Hive compliant
- Data and Metadata
- Data is available in both CSV and Apache Parquet format, optimized for high read performance on distributed Hadoop, Spark & MPP clusters
- Metadata is provided in the open Frictionless Data standard, and its every field is normalized & validated
- Data Updates
- Data updates support replace-on-update: outdated foreign keys are deprecated, not deleted
Our data is curated and enriched by domain experts
Each dataset is manually curated by our team of doctors, pharmacists, public health & medical billing experts:
- Field names, descriptions, and normalized values are chosen by people who actually understand their meaning
- Healthcare & life science experts add categories, search keywords, descriptions and more to each dataset
- Both manual and automated data enrichment supported for clinical codes, providers, drugs, and geo-locations
- The data is always kept up to date – even when the source requires manual effort to get updates
- Support for data subscribers is provided directly by the domain experts who curated the data sets
- Every data source’s license is manually verified to allow for royalty-free commercial use and redistribution.
Need Help?
- If you have questions about our products, contact us at info@johnsnowlabs.com .
About Us
John Snow Labs , an AI and NLP for healthcare company, provides state-of-the-art software, models, and data to help healthcare and life science organizations build, deploy, and operate AI projects.
Details
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimensions summary
This listing uses a single pricing dimension: Product Access (Units). It grants you access to the product at no charge. There are no tiers, instance sizes, or usage add-ons to compare. You install and run the software on your own infrastructure, so pricing does not scale by documents, users, or pipelines. Because access is free, there is one flat option rather than a set of categorized choices.
Top-of-mind questions for buyers
It grants you access to the product at no charge. You install and run the software on your own infrastructure. There is no metering by documents, characters, or users. Access is the single billed item, and it carries a zero price.
No. There is no limit on the number of characters, words, or documents you process. You can run the software on multiple machines and by multiple users in parallel. The free access does not cap projects, models, or pipelines.
After the initial install and model download, you can run without an internet connection. You run everything on your own infrastructure, so no data or results are sent to the vendor. This design supports high-compliance, locked-down environments.
www.johnsnowlabs.com
Helpful?
Vendor refund policy
“No refunds offered. For any questions email us at info@johnsnowlabs.com ”.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Ambulatory ECG Monitoring per 1000 Medicare Enrollees HRR level 2012 | All historical revisions | All future revisions | ||||
Cardiac Echocardiogram per 1000 Medicare Enrollees HRR Level 2012 | All historical revisions | All future revisions | ||||
Cardiac Stress Testing per 1000 Medicare Enrollees HRR Level 2012 | All historical revisions | All future revisions | ||||
Carotid Echocardiogram per 1000 Medicare Enrollees HRR Level 2012 | All historical revisions | All future revisions | ||||
Coronary Angiography per 1000 Medicare Enrollees HRR Level 2012 | All historical revisions | All future revisions | ||||
Coronary Artery Stenting per 1000 Medicare Enrollees HRR Level 2012 | All historical revisions | All future revisions | ||||
Implantable Defibrillator Insertion County Levels 2008 to 2012 | All historical revisions | All future revisions | ||||
Implantable Defibrillator Insertion HRR Levels 2008 to 2012 | All historical revisions | All future revisions | ||||
Implantable Defibrillator Insertion HSA Levels 2008 to 2012 | All historical revisions | All future revisions | ||||
Implantable Defibrillator Insertion State Levels 2008 to 2012 | All historical revisions | All future revisions |
Resources
Vendor resources
Similar products
CAD-RADS stands for Coronary Artery Disease Reporting and Data System. It's a standardized method for reporting the results of coronary computed tomography angiography (CCTA). Cardiovascular disease (CVD) refers to a group of conditions that affect the heart and blood vessels. It is the leading cause of death globally, accounting for over 17 million deaths annually. Creating better tools for coronary artery disease with centerline segmentation, stenosis assessment. Utilize MPR and CMPR views.
The global Arterial Stents Market was valued at USD 16.18 billion in 2024 and is projected to reach USD 17.93 billion by 2025. By 2030, the market is expected to grow to USD 29.94 billion, reflecting a compound annual growth rate (CAGR) of 10.8%. This steady growth is primarily driven by the rising prevalence of cardiovascular diseases and the increasing preference for minimally invasive procedures aimed at restoring blood flow and preventing potentially life-threatening complications.
The market is currently being transformed by the integration of AI-assisted image interpretation and the rapid miniaturization of hardware. While traditional cart-based systems still dominate hospital settings (68% share), the shift toward Point-of-Care Testing (POCT) is driving a surge in handheld device adoption. This evolution is primarily fueled by the rising global burden of cardiovascular diseases and a post-pandemic emphasis on non-invasive, rapid diagnostics that can be performed in decentralized settings like Ambulatory Surgical Centers (ASCs).
This data package contains datasets on clinical trials conducted in the United States. Diseases include cervical cancer, diabetes, acute respiratory infection as well as stress. This data package also includes clinical trials registry and results database.