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NPIRS Overview. How did the NDW Project come about? How is the new NDW System designed? What are the benefits of the new NDW system? How is data exported to NPIRS? What data can NPIRS collect? How do we add new data elements? How do we assure the integrity of the data we receive?

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Npirs overview
NPIRS Overview

  • How did the NDW Project come about?

  • How is the new NDW System designed?

  • What are the benefits of the new NDW system?

  • How is data exported to NPIRS?

  • What data can NPIRS collect?

  • How do we add new data elements?

  • How do we assure the integrity of the data we receive?

  • How can users access and use information from the NDW?

  • What do we foresee for the future?


What is data integrity
What is “Data Integrity”

“Data Integrity” means that data have not been altered or destroyed in an unauthorized manner… [It] is both a security and a quality principle that prevents information from being modified or otherwise corrupted, either maliciously or accidentally.”

National Committee on Vital and Health Statistics. Report to the Secretary of the U.S. Department of Health and Human Services on Uniform Data Standards for Patients Medical Record Information. July 2000


What is data integrity1
What is “Data Integrity”

… so, in simple terms, “Data Integrity” means that we will not make your good data bad, lose records, lose a diagnosis code, and so forth.

We should be able to show you that what we have at the NDW is exactly* what you sent us.

* Except for minor exceptions, e.g., non-Y2K compliant dates


Data integrity
Data Integrity

  • In implementing the NDW as IHS’ production NPIRS system, we literally went to unprecedented lengths to verify data integrity and the integrity of our processing.

  • We continue to carefully monitor data integrity, continually enhancing our methods for doing so.


What it is not
What It is not…

“Data Integrity” does not mean we can take poor quality data and change it to make it “good quality.”

For example, data that is erroneous, missing, improperly coded, incomplete, etc. in the source systems will still be erroneous, missing, improperly coded, incomplete, etc. once it is loaded in the NDW.


Data quality
“Data Quality”

The accuracy, completeness, appropriate use of codes, etc. of data in the source systems, its “Data Quality,” has to be the responsibility of the local facilities who own and enter the data into their IT systems.

However we are partners. The NDW provides local facilities information to assist them to improve the quality of the data in their systems.


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