# Racial Misclassification of American Indian and Alaska Native People in the Electronic Medical Record: An Unexpected Hurdle in a Retrospective Medical Record Cohort Study

## TL;DR

The paper highlights issues with misclassifying American Indian and Alaska Native people in electronic medical records, affecting health outcome studies.

## Contribution

It introduces a hybrid method for harmonizing data to assess data integrity in this population.

## Key findings

- Electronic health records often misclassify American Indian and Alaska Native individuals.
- A hybrid data harmonization approach can help assess data integrity in this population.

## Abstract

Electronic health record data represent a rich data source; however, data accuracy must be considered prior to reporting health outcomes among American Indian and Alaska Native people. Using a hybrid approach to harmonizing data from multiple sources represents a valid method of assessing data integrity in this population.