A new research article, entitled “Assessing the representativeness of single-center EMR data on ten cancer types: A comparative analysis with national statistics from South Korea (2011–2021)”, authored by Won Jung-Hyun and Howard Lee, was published in the International Journal of Medical Informatics(IJMI). IJMI is a leading international journal that publishes high-impact research on the development, implementation, and real-world evaluation of health information systems and clinical informatics technologies.

This study evaluated whether single-center electronic medical record (EMR) data from Seoul National University Hospital (SNUH) could represent a real-world data source for oncology research in South Korea. To address this, the study analyzed annual incidence and prevalence patterns for ten major cancer types (e.g., breast, gallbladder/biliary tract, gastric, kidney, liver, lung, pancreatic, prostate, thyroid cancers, and leukemia) from 2011 to 2021 using national cancer statistics from the Korean Statistical Information Service (KOSIS) as reference. The study also examined age and gender distributions between two datasets. The results showed that the SNUH EMR data included 8.2% of national incident cancer cases and 10.7% of prevalent cases. The study also found no significant differences in age and gender distributions across all cancer types between the SNUH EMR and national data. In addition, strong correlations in annual trends were observed for several major cancers, including breast, lung, and pancreatic cancers. Overall, this study showed that single-center EMR data can be a valuable, representative clinical resource for oncology research in South Korea. At the same time, the study emphasizes that the underrepresentation of certain cancer types and external temporal factors, such as changes in clinical guidelines or major healthcare disruptions, should be carefully considered when generalizing findings from a single institution to broader populations.

The research article entitled “Prephase Steroid Treatment before Remission Induction Chemotherapy in Patients with Pediatric Acute Lymphoblastic Leukemia Using Common Data Model-Based Real-World Data: A Retrospective Observational Study”¹, which was first-authored by the former CCADD graduate,Yoona Choi, and co-authored by the members of CCADD  has been cited in the lastest haematology guidelines on the diagnosis and managemet of tumour lysis syndrome² published by the British Society for Haematology. Moreover, the study was cited in a recent review article published in the New England Journal of Medicine (NEJM)³ detailing the epidemiology and pathophysiology of tumor lysis syndrome.

The British Society for Haematology produces up-to-date evidence-based guidelines on the diagnosis and treatment of haematological disease, while The New England Journal of Medicine is one of the prominent journals of new medical knowledge and clinical best practicies worldwide (Impact Factor 78.5).

This recognition highlights the clinical significance of our study in advancing evidence-based practice for pediatric acute lymphoblastic leukemia. CCADD takes pride in producing research that informs medical decision-making, and will continue efforts to deliver impactful studies.

1_Choi Y, Kim BK, Won JH, Yoo JW, Choi W, Jung S, Kim JY, Choi IY, Chung NG, Lee JW, Choi JY, Kang HJ, Lee H. Prephase steroid treatment before remission induction chemotherapy in patients with pediatric acute lymphoblastic leukemia using common data model-based real-world data: a retrospective observational study. Clin Epidemiol. 2024 Apr 22;16:293-304. doi:10.2147/CLEP.S454263. PMID:38681782; PMCID:PMC11049150.

2_Chan YLT, El-Sharkawi D, Shah P, Chanouzas D, O’Connor D, Marks SD, et al. British Society for Haematology updated guidelines for the diagnosis and management of tumour lysis syndrome in adults and children with haematological malignancies: a focus on patient safety. Br J Haematol. 2025;00:1-11. doi:10.1111/bjh.70092.

3_Bociek RG, Lunning M. Tumor lysis syndrome. N Engl J Med. 2025 Sep 18;393(11):1104-1116. doi:10.1056/NEJMra2300923. PMID:40961427.

Chaeyoung Chang is a Master’s student at the Department of Molecular Medicine and Biopharmaceutical Science (MMBS), Graduate School of Convergence Science, Seoul National University. She was an undergraduate researcher at CCADD, after completing the 2025 Summer Internship Program. She majored in Chemistry at Konkuk University. During the internship, she gained experience in leveraging large language models for regulatory applications and real-world data analysis. She aims to apply AI to advance drug development and generate clinical evidence from real-world data.

Sunyoung Lee is a Master’s student at the Department of Molecular Medicine and Biopharmaceutical Science (MMBS), Graduate School of Convergence Science, Seoul National University. She is a registered nurse who earned her nursing degree from Ajou University and gained clinical experience at Seoul National University Hospital. She later worked as a Clinical Project Leader at the Development Center of Daewoong Pharmaceutical Company and partook in the clinical research of Fexuprazan and URSA. With her growing interest in real-world data (RWD) and real-world evidence (RWE), she joined CCADD during the 2025 Summer Internship Program to further explore the field and develop her research competencies.

This summer, CCADD welcomes five interns - Minseop Yeom, Sungwook Choi, Sunyoung Lee, Soyoung Park and Chaeyoung Chang - for the 2025 Summer Internship Program.

Minseop Yeom is a student majoring in Biotechnology and Big Data Convergence at Sangmyung University. He is particularly interested in how artificial intelligence (AI) can be applied in clinical research and used to improve the efficiency of drug development systems. Through the CCADD internship, he hopes to gain hands-on experience in data-driven approaches to clinical development. This opportunity will serve as an essential step toward his long-term goal of becoming a researcher who contributes to advancing clinical processes and drug discovery through AI-based innovation.

Sungwook Choi is a student majoring in Software Engineering and Business Administration at Konkuk University. He previously worked as a part-time employee at Celltrion, where he developed an interest in biosimilars and clinical statistics. During the upcoming summer internship program, he aims to enhance efficiency in the drug development process and contribute to the development of manufacturing and analytical methods using AI.

Sunyoung Lee is a registered nurse who earned her nursing degree from Ajou University. She gained clinical experience at Seoul National University Hospital and later worked as a Clinical Project Leader at the Development Center of Daewoong Pharmaceutical Company. With a growing interest in real-world data (RWD) and real-world evidence (RWE), she joined the CCADD internship program to further explore and develop her research competencies.

Soyoung Park is an undergraduate at Hongik University, majoring in Materials Science and Engineering with a double major in Industrial Data Engineering. At the Artificial Intelligence & Application Lab (AIA Lab), she contributed to developing machine learning models for predicting rotator cuff re-tear and reoperation. Rather than feeding MRI images directly into models, she reviewed each scan to identify the tear site and consistently measured its size. She then structured the data for modeling. By integrating these imaging features with clinical variables, she built predictive datasets and became familiar with the challenges of working with RWD, such as missing values, inconsistent ation, and the need for clinical context. This experience led to her interest in RWD analysis and how it can support data-driven decision-making in medicine. Her current interests include RWD analysis, medical AI, and applying generative AI to clinical workflows. Through the CCADD internship, she hopes to gain practical experience in clinical data analysis and build a strong foundation for future research in drug development.

Chaeyoung Chang is an undergraduate student majoring in Chemistry at Konkuk University, with a keen interest in integrating AI into drug development. She built foundational skills in data analysis through the K-Software Empowerment Bootcamp. Recently, she participated in the 2025 Google Solution Challenge, where her team developed an AI-powered emergency room matching service in the healthcare track. The team was selected among the global Top 10 and received the Most Societal Impact Award as one of the winners. She is now joining the CCADD internship to further explore AI-driven drug development and gain practical experience with real-world data.

During the 2025 summer internship, we hope interns continue to build confidence, stay curious, and actively engage in deepening their understanding of drug development and regulatory science with independence and passion.

Suhyun An is a Master’s student at the Department of Molecular Medicine and Biopharmaceutical Science (MMBS), Graduate School of Convergence Science, Seoul National University.

Her research centers around Medical Decision Making and AI-based drug discovery using large language models and deep neural networks, with a focus on adverse drug reactions and drug–drug interactions.

Suhyun An participated in CCADD during the 2024 Winter Internship Program and gained experience in real world data preprocessing, and machine learning. After the internship, Suhyun An continued as an undergraduate researcher at CCADD and participated in projects analyzing real-world data, including electronic medical records and clinical notes. These projects improved skills in natural language processing, applications of Large Language Models, and programming languages like R, Python, and Structured Query Language (SQL).

Seoyoon Jang is enrolled in the Integrated Ph.D. Course at the Department of Molecular Medicine and Biopharmaceutical Science (MMBS), Graduate School of Convergence Science and Technology, Seoul National University. She previously worked as an undergraduate researcher at CCADD after completing the 2024 Winter Internship Program. Seoyoon Jang majored in Systems Biotechnology at Chung-Ang University. Her research interests include generating real-world evidence (RWE) from real-world data (RWD) using electronic medical records (EMR) and AI-based drug development. Through her internship, she became proficient in R, and during her undergraduate research experience, she further developed her research skills by working with a variety of LLM models.

Seeun Park is a Master’s student at the Department of Molecular Medicine and Biopharmaceutical Science (MMBS), Graduate School of Convergence Science, Seoul National University. She previously worked as an undergraduate researcher at CCADD after completing the 2024 Winter Internship Program. She majored in Bioengineering at Yonsei University. She was able to gain knowledge and hands-on experience on artificial intelligence for clinical drug development by the project “Improving the Generalizability of Natural Language Process Models to Extract Drug Safety Information from Clinical Notes”. With passion in healthcare and safety, she focuses on exploring clinical pharmacology and regulatory science more specifically Real-World Data (RWD) and policy analysis in Korea. It is her goal to work on expertise for the improvement of disease prevention and control.