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한빛사논문
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npj Digit. Med., Feb 27 2025, 8 (1) | https://doi.org/10.1038/s41746-025-01508-2
Continuous multimodal data supply chain and expandable clinical decision support for oncology
Jee Suk Chang1,7, Hyunwook Kim2,7, Eun Sil Baek3, Jeong Eun Choi4,6, Joon Seok Lim5, Jin Sung Kim1 & Sang Joon Shin2
1Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea.
2Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea.
3Songdang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea.
4Office of Data Services at Division of Digital Health, Yonsei University Health System, Seoul, Republic of Korea.
5Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
6Present address: Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.
7These authors contributed equally: Jee Suk Chang, Hyunwook Kim.
Corresponding authors
Correspondence to Jin Sung Kim or Sang Joon Shin.
1Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea.
2Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea.
3Songdang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea.
4Office of Data Services at Division of Digital Health, Yonsei University Health System, Seoul, Republic of Korea.
5Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
6Present address: Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.
7These authors contributed equally: Jee Suk Chang, Hyunwook Kim.
Corresponding authors
Correspondence to Jin Sung Kim or Sang Joon Shin.
Abstract
The study introduces a clinical decision support system (CDSS) developed at a single academic cancer center, integrating real-time clinical, genomic, and imaging data for over 170,000 patients across 11 cancer types. We have developed the Yonsei Cancer Data Library (YCDL) data integration framework to continuously collect and update multimodal datasets comprising over 800 features per case. Quality control measures, using 143 logical comparisons, addressed missing data and outliers, achieving median accuracies of 92.6% for surgical and 98.7% for molecular pathology. An Extract-Transform-Load (ETL) process with natural language processing transformed unstructured data, enabling survival analyses stratified by tumor stage, which revealed significant stage-dependent differences. The CDSS dashboard visualizes patient trajectories and key milestones. User feedback from oncology professionals showed strong acceptance, with satisfaction scores exceeding 4 out of 5. This framework demonstrates the potential of multimodal data integration to enhance clinical decision-making and patient outcomes, with future research needed to validate its generalizability and scalability.
논문정보
- Research article
- 2025년 02월 (BRIC 등록일 2025-02-28)
- 국내 연구진
- 의약학 > 종양의학
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