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Chuan Hong

Assistant Professor of Biostatistics & Bioinformatics
Biostatistics & Bioinformatics, Division of Translational Biomedical

Overview


Chuan Hong, PhD, joins Duke as an Assistant Professor of Biostatistics effective August 1. She comes to the Duke from Harvard Medical School, where she served as an Instructor of Biomedical Informatics. Dr. Hong received her PhD degree in Biostatistics from the University of Texas Health Science Center at Houston. After that, she obtained postdoctoral trainings in Biostatistics at Harvard T. H. Chan School of Public Health from 2016 to 2018, and in Biomedical Informatics at Harvard Medical School from 2018 to 2019.

Current Appointments & Affiliations


Assistant Professor of Biostatistics & Bioinformatics · 2022 - Present Biostatistics & Bioinformatics, Division of Translational Biomedical, Biostatistics & Bioinformatics
Member in the Duke Clinical Research Institute · 2021 - Present Duke Clinical Research Institute, Institutes and Centers

Recent Publications


An evaluation framework for ambient digital scribing tools in clinical applications.

Journal Article NPJ Digit Med · June 13, 2025 Ambient digital scribing (ADS) tools alleviate clinician documentation burden, reducing burnout and enhancing efficiency. As AI-driven ADS tools integrate into clinical workflows, robust governance is essential for ethical and secure deployment. This study ... Full text Link to item Cite

Differences in Arterial Blood Gas Testing by Race and Sex across 161 U.S. Hospitals in Four Electronic Health Record Databases.

Journal Article Am J Respir Crit Care Med · June 2025 Rationale: Pulse oximetry accuracy varies across races, underscoring the importance of routine arterial blood gas (ABG) testing, the gold standard for assessing oxygen saturation. Objectives: This study aimed to assess disparities in ABG testing among crit ... Full text Link to item Cite

FedIMPUTE: Privacy-preserving missing value imputation for multi-site heterogeneous electronic health records.

Journal Article J Biomed Inform · May 2025 OBJECTIVES: We propose FedIMPUTE, a communication-efficient federated learning (FL) based approach for missing value imputation (MVI). Our method enables multiple sites to collaboratively perform MVI in a privacy-preserving manner, addressing challenges of ... Full text Link to item Cite
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Recent Grants


Overcoming inequities in Pulse oximetry Through clinical InformatiCs (OPTIC)

ResearchCo Investigator · Awarded by National Institutes of Health · 2025 - 2029

Debiasing Clinical Care Algorithms

ResearchPrincipal Investigator · Awarded by American Heart Association · 2024 - 2025

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Education, Training & Certifications


University of Texas Health Sciences Center, Houston · 2016 Ph.D.