Advancing a Nationwide Patient Matching Strategy

Published in: Journal of AHIMA, Volume 89, Number 7 (July-August 2018), Pages 30-35

Posted on RAND.org on August 22, 2018

by Rita Torkzadeh, Ben Moscovitch, Josh Rising, Jitin Asnaani, Michelle Michelle De Mooy, Jamie Ferguson, Mark Gingrich, Shaun Grannis, Eric Heflin, Andrew Hohwald, Aaron Miri, Robert S. Rudin, Catherine Schulten, Allison Viola, Chantal Worzala, John Halamka

Read More

Access further information on this document at bok.ahima.org

This article was published outside of RAND. The full text of the article can be found at the link above.

Accurately linking people with information about them that is stored across various systems is common to many life activities—such as when qualifying for a loan or registering to vote. While all industries don't always get data matching right, this problem can be particularly challenging in healthcare. One example of the problem can be seen at a single Houston health system, which reported it has 2,488 records with the patient name Maria Garcia, of which 231 Maria Garcias share the same birth date. Some of these records are likely duplicates, but how many and which ones?

This report is part of the RAND Corporation external publication series. Many RAND studies are published in peer-reviewed scholarly journals, as chapters in commercial books, or as documents published by other organizations.

The RAND Corporation is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.