Novel
Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and are in the process of generating evidence of effectiveness or may not yet be tested.

Negative Patient Descriptors: Documenting Racial Bias in the Electronic Health Record

Sun, M., Oliwa, T., Peek, M. E., Tung, E. L.

Release Date:

Peer Review Study

Data Collection and Analysis
Healthcare Access and Quality
Social and Community Context
Tools Included
Outside U.S.
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Data Collection and Reporting

This study used machine learning to analyze electronic health records from an urban academic medical center and to investigate whether providers’ use of negative patient descriptors varied by patient race or ethnicity.

Resource Details

Outcomes of Interest

Improve Data Infrastructure

Priority Population(s)

Setting(s) of Implementation

Geographic Area of Implementation

Urban

Implementation Period

2019-2020