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coby-dulitzki/README.md

Coby Dulitzki, MS

Doctoral Researcher · Health Systems & Policy · OHSU-PSU School of Public Health

Precision prevention · Implementation science · Health economic evaluation

LinkedIn Google Scholar Email


I study how predictive screening algorithms and precision prevention strategies can be implemented in health systems — and how their clinical and economic value can be evaluated using real-world data. My dissertation, in partnership with Kaiser Permanente Northwest, examines EHR-embedded CKD risk prediction tools through the lens of implementation science and health technology assessment.

This portfolio demonstrates the analytic pipeline that connects clinical problem identification → evidence synthesis → statistical analysis → economic evaluation → strategic decision-making.


Featured Projects

🔬 ADA Guideline Concordance Analysis

Sankey/alluvial visualization comparing observed diabetes prescribing patterns against ADA guideline recommendations using NHANES data. Maps patient risk profiles to treatment regimens and identifies concordance gaps.

R · ggplot2 · ggalluvial · NHANES · Clinical Guideline Concordance

→ View Repository

More projects coming soon.


Methods & Tools

Real-World Evidence
NHANES · BRFSS
Survey data analysis
Causal Inference
Difference-in-differences
Observational study design
Implementation Science
CFIR · RE-AIM
Mixed methods
Data Visualization
ggplot2 · ggalluvial
Clinical workflow mapping

Primary language: R  ·  Secondary: SAS · Python


Research

Dissertation: Implementation and Value Assessment of EHR-Embedded CKD Screening Algorithms — A mixed-methods study with Kaiser Permanente Northwest examining the adoption, reach, and cost-effectiveness of predictive screening tools for chronic kidney disease.

Peer-Reviewed Publications

Dulitzki C, Crane SM, Hardwicke TE, Ioannidis JPA. Expanding the Data Ark: An attempt to make the data from highly cited social science papers publicly available. Royal Society Open Science. 2024;11:240016.

Agache I, Sampath V, Aguilera J, et al. Climate change and global health: A call to more research and more action. Allergy. 2022;77(5):1389–1407.

In Preparation:

Dulitzki C, Arseneault M, Jacobs P. Runtime governance of predictive clinical decision support systems: Patient-level reliability signals used to guide system behavior — a scoping review and conceptual synthesis. Target: JAMIA.

Frehlich L, Dulitzki C, Clay J, Stamatakis E. Does physical activity moderate the health effects of alcohol? A scoping review and narrative synthesis.


Portland, OR · MS/BS Stanford University · PhD expected 2028

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  1. ada-guideline-care-cascade ada-guideline-care-cascade Public

    Alluvial (Sankey) visualization of ADA diabetes guideline concordance using NHANES data, illustrating treatment gaps across patient risk profiles.

    R

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