NPI Data Services eDirectory

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NPI Data Services has made the provider data available in the form of eDirectory in a very user-friendly searchable PDF format. Our NPI Data Services eDirectory is available state wise for all 50 US states, Puerto Ricco and Washington D.C. Each eDirectory will contain both individual and organizational providers. The eDirectory has been designed with bookmarks and internal links so that providers are searchable quickly using Provider name, NPI and UPIN. The individual providers, organizations, NPI and UPINS are book marked separately.

To download and view the sample NPI Data Services eDirectory, click the Free eDirectory .

Data Delivery:

eDirectory will be available for download immediately after the payment. Each state's PDF file will be zipped separately and will be available in "Available Downloads" section under "My Account" tab immediately after the payment process is successfully completed. You will find "My Account" menu after you login to the site. For other special delivery requests, please contact us. We provide email support to our customers. Please use our contact us page. We will respond your question within one business day.

NPIDL eDirectory - Individual States:

The PDF format eDirectory of each state or Puerto Ricco or Washington D.C will be in separate pdf file. To order and download complete US Provider individual state eDirectory, Click the "Purchase" link below.

Product Name Products Price Purchase Link
NPIDL State eDirectory - For Each State $7.00 Click Here to Purchase

The provider data in NPI Data Services 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. NPI Data Services is not responsible for the quality and timeliness of NPPES data. NPI Data Services 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.