Kevin’s research applies informatics methods to address public health issues and health disparities among marginalized patient populations. Specifically, he seeks to understand the effect of biases in care delivery and its impact on patient data quality and health outcomes using informatics tools (e.g., natural language processing, machine learning models). Kevin is also interested in assessing how the digital divide among patient populations and health care organizations worsens health outcomes. Kevin will translate his research to communicate and develop policy solutions that can improve clinical data quality and make health care more equitable for all populations.
MORE ABOUT KEVIN
Kevin is a second-year doctoral student at Indiana University Richard M. Fairbanks School of Public Health. Having worked across disciplines to conduct health information technology research in resource-poor settings domestically and abroad, Kevin brings unique experience to HPRS.
DISSERTATION GRANT AWARDEE — FEBRUARY 2021
Data Quality and Care Coordination in Type 2 Diabetes Management
The proposed dissertation combines three related approaches to examine whether and to what extent a relationship exists between patient and aggregate-level measures of EHR data quality and care coordination outcomes: delayed care and repeat visits across care settings.
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