معرفی
Dr. Chungsoo Kim is a Research Fellow at Yale School of Medicine, affiliated with the Section of Cardiovascular Medicine and the Yale/YNHH Center for Outcomes Research and Evaluation (CORE). He holds a PharmD from Ajou University College of Pharmacy and a PhD in Biomedical Informatics from Ajou University Graduate School of Medicine. His research focuses on leveraging real-world data and AI methodologies to improve healthcare outcomes, including drug safety evaluations, comparative effectiveness analyses, and clinical decision-support systems. His work spans cardiovascular diseases, pharmacotherapy optimization, and public health informatics. Dr. Kim collaborates internationally on observational studies involving multi-country databases to address gaps in medication use, disparities in treatment uptake, and post-acute sequelae of diseases like COVID-19.
Education:
- PharmD, Ajou University College of Pharmacy, 2019
- PhD in Biomedical Informatics, Ajou University Graduate School of Medicine, 2024
Research Interests: Dr. Kim's work emphasizes real-world evidence generation through large-scale health data. Key areas include:
- Drug safety and comparative effectiveness using EHRs and claims data
- AI-driven predictive modeling for healthcare decision-making
- Pharmacoepidemiology and regulatory science
- Health disparities in medication access and outcomes
- Post-acute care and long-term outcomes of infectious diseases
Research Trends in Articles: His publications highlight a focus on translational research using observational data to address critical clinical questions, such as optimizing antihyperglycemic therapies, evaluating cardiovascular risks of medications, and analyzing disparities in obesity treatment. Recent work includes methodological advancements in phenotypic prediction and multi-outcome modeling.
Labs/Teams: Active contributor to the Center for Outcomes Research and Evaluation (CORE) and collaborator with the Observational Health Data Sciences and Informatics (OHDSI) global network.
