NPIDS provides National Provider Identifier (NPI) data in files that can be accessed and downloaded. NPIDS provides monthly NPI files and our web site has the most current data set. All downloadable sales are non-refundable. To order and download the complete U.S. provider data file, click the purchase NPPES Complete US Provider Data link. To order and download the state provider data file(s), click the purchase NPPES State Provider Data link.
Click the “Add to Cart” button to start the checkout process. After completing the purchase, data file(s) selected will be available immediately. To download your data file(s), navigate to the My Account menu and select “Available Download”. The Available Download page will display with links to access selected data file(s).
Our Value Additions:
1. The NPPES data are pre-processed and converted to normalized data structure to eliminate the issues with huge NPPES file size, number of records and number of columns.
2. The exceptions flagged during our data pre-processing and conversion processes will be supplied along with the provider data files to help the customers with additional information. Some of the exceptions, captured, are:
- Providers with no taxonomies
- Providers with no other ids
- Providers with suspicious address records
- Typos within the data
3. NPIDS have added more field columns in some of the data files to have normalized file structure, to make data records unique and to accommodate derived descriptions of the data to help our customers for the practical use of the data set in their systems and environments.
Primary uses for NPIDS Provider Data:
• Import missing provider data
• Add new data elements
• Improve fill rates for current data elements
• Clean and format-standardize data values
• Verify/validate current data
• Correct/replace erroneous data
• Match providers to partial identifier data
• Reduce/eliminate provider duplication
• Segment providers by taxonomy/specialty
• Search any NPPES data field and the derived specialty description
• Create cross walk tables
• Research healthcare industry
The values of good data are:
• Increase your claims auto–adjudication rates
• Prevent fraudulent claims from being paid
• Increase your plan's coverage and provider density
• Check the integrity of candidate network providers
• Decrease the amount of returned mail
• Improve forecasting and planning
• Improve provider and member relationships with more accurate listings
The costs of bad data are:
• Inappropriately paid claims
• Manual claims adjudication
• Returned mail
• Poor business relations
• Excessive file maintenance and data reconciliation costs
Data Structure / Layout:
For Detailed Provider Data Structure (Model) of Complete Data, Click your Mouse Over the boxes below and use tab, up and down arrow keys:
1. Primary Key and Composite Key columns are high lighted in blue color font in diagram/data layout below.
2. Each record in NPI file (npis.csv) will either have a record in Person Names file (personnames.csv) or in Organization Names
file (orgnames.csv).
3. One provider record can have upto 15 records in Taxonomies file (taxonomies.csv). Each record will be identified with sequence
number from 1 to 15. The combination of NPI number and Sequence number is always unique.
4. One provider record can have upto 50 records in Other IDs file (otherids.csv). Each record will be identified with sequence
number from 1 to 50.The combination of NPI number and Sequence number is always unique.
The provider data in NPIDS data sets are taken directly from monthly updates from the National Plan & Provider Enumeration System (NPPES) from Centers for Medicare and Medicaid Services (CMS), a division of the US Department of Health and Human Services (HHS), an agency of the US federal government. NPIDS is not responsible for the quality and timeliness of NPPES data. NPIDS might add few columns in some of the files to have normalized data and to accommodate derived descriptions of the data, which would help the customers for the practical use of the dataset in their systems and environments.
