In collaboration with the Pew Charitable Trusts and Regenstrief Institute, CHIP aims to identify demographic variables that are crucial for accurate patient matching and assess their current use and standardization across healthcare organizations.
One of the key building blocks to achieving interoperability is the ability to correctly match patients to their health records and effectively link records for the same individual across institutions. Currently, match rates between organizations can be as low as fifty percent, resulting in patients and clinicians not having the information they need, introducing safety risks, and increasing costs. At the end of this study, we aim to provide recommendations for improving matching outcomes through standardization.
We will analyze the demographic data captured and used by health care organizations to match patient records and develop a report that describes current documentation and standardization practices in the United States.
Abel Kho, MD, MS, FACMI
Vesna Mitrovic, Data Group Lead
Lacey Gleason, Project Manager
Yu Deng, PhD Student, Doctoral Research Assistant
Mohamed Hassan, PhD Student, Doctoral Research Assistant
Funding for this project is provided by the Pew Charitable Trusts.
Pew Charitable Trusts
Shaun Grannis, Regenstrief Institute