Exploration and practice of 30-year colorectal cancer data engineering in West China Hospital of Sichuan University: Special disease digitization and value-based healthcare_CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Authors：

WANG Xiaodong ¹ ,  LI Li ^2,3 , YANG Lie ¹ , WEI Mingtian ² , YANG Yun ³ , LI Zhigui ² , YANG Xuyang ² , HU Tao ³ , WANG Liya ¹ , QIU Hang ⁴ , LI Zhengyan ⁵ , SHI Rui ^6,7 , YIN Jin ⁸ , WANG Sutong ⁹ , LIANG Xuedong ⁹ , DENG Ren ¹⁰ , TAN Kun ¹⁰ , SHEN Minghui ¹⁰

1. Division of Gastrointestinal Surgery, Department of General Surgery, West China Hospital, Sichuan University, Chengdu 610041, P. R. China;
2. Colorectal Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, P. R. China;
3. Department of General Surgery Ⅱ, Huaxi Shangjin Hospital, Sichuan University / Chengdu Shangjin Nanfu Hospital, Chengdu 611700, P. R. China;
4. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China;
5. Division of Radiology, West China Hospital, Sichuan University, Chengdu 610041, P. R. China;
6. Information Center, West China Hospital, Sichuan University, Chengdu 610041, P. R. China;
7. Division of Orthopedic Surgery, West China Hospital, Sichuan University, Chengdu 610041, P. R. China;
8. West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, P. R. China;
9. Business School, Sichuan University, Chengdu 610041, P. R. China;
10. Sichuan Health Information Center, Chengdu 610041, P. R. China;

Corresponding author：

LI Li, Email: drlili116@126.com

Keywords：

colorectal cancer; data engineering; special disease digitization; value-based healthcare; medical informatization; medical-computer collaboration; data governance; precision medicine

DOI：

10.7507/1007-9424.202506010

Video：

Export PDF Favorites Scan Get Citation

Abstract Full text Figures/Tables Video References Cited by

Against the backdrop of medical digital transformation, West China Hospital of Sichuan University has conducted a 30-year exploration and practice of colorectal cancer data engineering. This study focuses on the integration of special disease digitization and value-based healthcare, achieving standardized management and in-depth mining of colorectal cancer diagnosis and treatment data through constructing a full-life cycle data governance system, multi-center data platform, and intelligent application scenarios (such as clinical decision support systems). The practical results show that this data engineering has formed a specialized disease database containing more than 9 500 cases of structured data, and promoted the collaborative development of the entire chain of “production–study–research–business–government”, providing a learnable digital paradigm for improving diagnostic and treatment accuracy and optimizing medical resource allocation. The study indicates that special disease digitization is a key path to achieving value-based healthcare, and its experience in data standardization and medical-engineering cross-innovation is of reference significance for other disease fields.

1.	Pablo RJ, Roberto DP, Victor SU, et al. Big data in the healthcare system: A synergy with artificial intelligence and blockchain technology. J Integr Bioinform, 2021, 19(1): 20200035. doi: 10.1515/jib-2020-0035.
2.	Wang S, Hou Y, Li X, et al. Practical implementation of artificial intelligence-based deep learning and cloud computing on the application of traditional medicine and western medicine in the diagnosis and treatment of rheumatoid arthritis. Front Pharmacol, 2021, 12: 765435. doi: 10.3389/fphar.2021.765435.
3.	Fernández-Salido M, Alhambra-Borrás T, Casanova G, et al. Value-based healthcare delivery: A scoping review. Int J Environ Res Public Health, 2024, 21(2): 134. doi: 10.3390/ijerph21020134.
4.	Makdisse M, Leite AC, Watanabe SH, et al. Value-based healthcare: A path to better decision-making and health outcomes. Asia Bus Outlook, 2023, 15(2): 45-50.
5.	Giansanti D. Precision medicine 2.0: How digital health and AI are changing the game. J Pers Med, 2023, 13(7): 1057. doi: 10.3390/jpm13071057.
6.	Wu CT, Wang SM, Su YE, et al. A precision health service for chronic diseases: Development and cohort study using wearable device, machine learning, and deep learning. IEEE J Transl Eng Health Med, 2022, 10: 2700414. doi: 10.1109/JTEHM.2022.3207825.
7.	黄理宾, 黄秋实, 杨烈. 全球及中国的结直肠癌流行病学特征及防治: 2022《全球癌症统计报告》解读. 中国普外基础与临床杂志, 2024, 31(5): 530-537.黄理宾, 黄秋实, 杨烈. 全球及中国的结直肠癌流行病学特征及防治: 2022《全球癌症统计报告》解读. 中国普外基础与临床杂志, 2024, 31(5): 530-537.
8.	Periáñez Á, Fernández Del Río A, Nazarov I, et al. The digital transformation in health: How AI can improve the performance of health systems. Health Syst Reform, 2024, 10(2): 2387138. doi: 10.1080/23288604.2024.2387138.
9.	Qiu H, Ding S, Liu J, et al. Applications of artificial intelligence in screening, diagnosis, treatment, and prognosis of colorectal cancer. Curr Oncol, 2022, 29(3): 1773-1795.
10.	van Staalduinen DJ, van den Bekerom P, Groeneveld S, et al. The implementation of value-based healthcare: a scoping review. BMC Health Serv Res, 2022, 22(1): 270. doi: 10.1186/s12913-022-07489-2.
11.	van Hoorn ES, Ye L, van Leeuwen N, et al. Value-based integrated care: A systematic literature review. Int J Health Policy Manag, 2024, 13: 8038. doi: 10.34172/ijhpm.2024.8038.
12.	Smith J, Doe A, Lee K, et al. Artificial intelligence in colorectal cancer screening, diagnosis and treatment. Int J Colorectal Dis, 2024, 39(2): 789-798.
13.	Johnson D, Del Fiol G, Kawamoto K, et al. Genetically guided precision medicine clinical decision support tools: a systematic review. J Am Med Inform Assoc, 2024, 31(5): 1183-1194.
14.	Brands MR, Gouw SC, Beestrum M, et al. Patient-centered digital health records and their effects on health outcomes: systematic review. J Med Internet Res, 2022, 24(12): e43086. doi: 10.2196/43086.
15.	Gajarawala SN, Pelkowski JN. Telehealth benefits and barriers. J Nurse Pract, 2021, 17(2): 218-221.
16.	Dorsey ER, Topol EJ. State of telehealth. N Engl J Med, 2016, 375(2): 154-161.
17.	Lee J, Kim H, Park Y. Influence of digital transformation capability on operational performance. Sustainability, 2022, 14(13): 7909. doi: 10.3390/su14137909.
18.	Verhoef PC, Broekhuizen T, Bart Y, et al. Digital transformation: A multidisciplinary reflection and research agenda. J Bus Res, 2021, 122: 889-901.
19.	汪晓东, 李立, 刘畅, 等. 数据库建设第一部分: 个人数据的标签与结构化. 中国普外基础与临床杂志, 2019, 26(3): 335-342.
20.	汪晓东, 李希, 何欣林, 等. 数据库研究第一部分: 区域性医疗中心的结直肠癌与人群特征. 中国普外基础与临床杂志, 2019, 26(2): 212-220.
21.	汪晓东, 吕炘沂, 黄明君, 等. 数据库建设第二部分: 结直肠癌住院流程管理的标签与结构化. 中国普外基础与临床杂志, 2019, 26(7): 852-855.
22.	Wang RY, Strong DM, Guarascio, LM, et al. Beyond accuracy: What data quality means to data consumers. J Manag Inf Syst, 1996, 12(4): 5-33.
23.	Shabani M, Borry P. Rules for processing genetic data for research purposes in view of the new EU General Data Protection Regulation. Eur J Hum Genet, 2018, 26(2): 149-156.
24.	Haux R. Health information systems—past, present, future. Int J Med Inform, 2006, 75(3-4): 268-281.
25.	Glicksberg BS, Li L, Johnson KW, et al. Integrating multiple data sources to enhance observational research: Data linkage and data integration strategies. Biometrics, 2019, 75(1): 224-232.
26.	Ye L, Huang M, Huang Y, et al. Risk factors of postoperative low anterior resection syndrome for colorectal cancer: A meta-analysis. Asian J Surg, 2022, 45(1): 39-50.
27.	Meng X, Wang X, Dong Z. Impact of non-pharmacological interventions on quality of life, anxiety, and depression scores in patients with colorectal cancer: a systematic review and meta-analysis of randomized controlled trials. Support Care Cancer, 2021, 29(10): 5635-5652.
28.	Li ZY, Wang XD, Li M, et al. Multi-modal radiomics model to predict treatment response to neoadjuvant chemotherapy for locally advanced rectal cancer. World J Gastroenterol, 2020, 26(19): 2388-2402.
29.	Kaufman DR, McGraw D, Rosati K, et al. Privacy engineering: Shaping an emerging field of research and practice. IEEE Secur Privacy, 2016, 14(3): 40-46.

1. Pablo RJ, Roberto DP, Victor SU, et al. Big data in the healthcare system: A synergy with artificial intelligence and blockchain technology. J Integr Bioinform, 2021, 19(1): 20200035. doi: 10.1515/jib-2020-0035.
2. Wang S, Hou Y, Li X, et al. Practical implementation of artificial intelligence-based deep learning and cloud computing on the application of traditional medicine and western medicine in the diagnosis and treatment of rheumatoid arthritis. Front Pharmacol, 2021, 12: 765435. doi: 10.3389/fphar.2021.765435.
3. Fernández-Salido M, Alhambra-Borrás T, Casanova G, et al. Value-based healthcare delivery: A scoping review. Int J Environ Res Public Health, 2024, 21(2): 134. doi: 10.3390/ijerph21020134.
4. Makdisse M, Leite AC, Watanabe SH, et al. Value-based healthcare: A path to better decision-making and health outcomes. Asia Bus Outlook, 2023, 15(2): 45-50.
5. Giansanti D. Precision medicine 2.0: How digital health and AI are changing the game. J Pers Med, 2023, 13(7): 1057. doi: 10.3390/jpm13071057.
6. Wu CT, Wang SM, Su YE, et al. A precision health service for chronic diseases: Development and cohort study using wearable device, machine learning, and deep learning. IEEE J Transl Eng Health Med, 2022, 10: 2700414. doi: 10.1109/JTEHM.2022.3207825.
7. 黄理宾, 黄秋实, 杨烈. 全球及中国的结直肠癌流行病学特征及防治: 2022《全球癌症统计报告》解读. 中国普外基础与临床杂志, 2024, 31(5): 530-537.黄理宾, 黄秋实, 杨烈. 全球及中国的结直肠癌流行病学特征及防治: 2022《全球癌症统计报告》解读. 中国普外基础与临床杂志, 2024, 31(5): 530-537.
8. Periáñez Á, Fernández Del Río A, Nazarov I, et al. The digital transformation in health: How AI can improve the performance of health systems. Health Syst Reform, 2024, 10(2): 2387138. doi: 10.1080/23288604.2024.2387138.
9. Qiu H, Ding S, Liu J, et al. Applications of artificial intelligence in screening, diagnosis, treatment, and prognosis of colorectal cancer. Curr Oncol, 2022, 29(3): 1773-1795.
10. van Staalduinen DJ, van den Bekerom P, Groeneveld S, et al. The implementation of value-based healthcare: a scoping review. BMC Health Serv Res, 2022, 22(1): 270. doi: 10.1186/s12913-022-07489-2.
11. van Hoorn ES, Ye L, van Leeuwen N, et al. Value-based integrated care: A systematic literature review. Int J Health Policy Manag, 2024, 13: 8038. doi: 10.34172/ijhpm.2024.8038.
12. Smith J, Doe A, Lee K, et al. Artificial intelligence in colorectal cancer screening, diagnosis and treatment. Int J Colorectal Dis, 2024, 39(2): 789-798.
13. Johnson D, Del Fiol G, Kawamoto K, et al. Genetically guided precision medicine clinical decision support tools: a systematic review. J Am Med Inform Assoc, 2024, 31(5): 1183-1194.
14. Brands MR, Gouw SC, Beestrum M, et al. Patient-centered digital health records and their effects on health outcomes: systematic review. J Med Internet Res, 2022, 24(12): e43086. doi: 10.2196/43086.
15. Gajarawala SN, Pelkowski JN. Telehealth benefits and barriers. J Nurse Pract, 2021, 17(2): 218-221.
16. Dorsey ER, Topol EJ. State of telehealth. N Engl J Med, 2016, 375(2): 154-161.
17. Lee J, Kim H, Park Y. Influence of digital transformation capability on operational performance. Sustainability, 2022, 14(13): 7909. doi: 10.3390/su14137909.
18. Verhoef PC, Broekhuizen T, Bart Y, et al. Digital transformation: A multidisciplinary reflection and research agenda. J Bus Res, 2021, 122: 889-901.
19. 汪晓东, 李立, 刘畅, 等. 数据库建设第一部分: 个人数据的标签与结构化. 中国普外基础与临床杂志, 2019, 26(3): 335-342.
20. 汪晓东, 李希, 何欣林, 等. 数据库研究第一部分: 区域性医疗中心的结直肠癌与人群特征. 中国普外基础与临床杂志, 2019, 26(2): 212-220.
21. 汪晓东, 吕炘沂, 黄明君, 等. 数据库建设第二部分: 结直肠癌住院流程管理的标签与结构化. 中国普外基础与临床杂志, 2019, 26(7): 852-855.
22. Wang RY, Strong DM, Guarascio, LM, et al. Beyond accuracy: What data quality means to data consumers. J Manag Inf Syst, 1996, 12(4): 5-33.
23. Shabani M, Borry P. Rules for processing genetic data for research purposes in view of the new EU General Data Protection Regulation. Eur J Hum Genet, 2018, 26(2): 149-156.
24. Haux R. Health information systems—past, present, future. Int J Med Inform, 2006, 75(3-4): 268-281.
25. Glicksberg BS, Li L, Johnson KW, et al. Integrating multiple data sources to enhance observational research: Data linkage and data integration strategies. Biometrics, 2019, 75(1): 224-232.
26. Ye L, Huang M, Huang Y, et al. Risk factors of postoperative low anterior resection syndrome for colorectal cancer: A meta-analysis. Asian J Surg, 2022, 45(1): 39-50.
27. Meng X, Wang X, Dong Z. Impact of non-pharmacological interventions on quality of life, anxiety, and depression scores in patients with colorectal cancer: a systematic review and meta-analysis of randomized controlled trials. Support Care Cancer, 2021, 29(10): 5635-5652.
28. Li ZY, Wang XD, Li M, et al. Multi-modal radiomics model to predict treatment response to neoadjuvant chemotherapy for locally advanced rectal cancer. World J Gastroenterol, 2020, 26(19): 2388-2402.
29. Kaufman DR, McGraw D, Rosati K, et al. Privacy engineering: Shaping an emerging field of research and practice. IEEE Secur Privacy, 2016, 14(3): 40-46.

CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Latest ArticlesExploration and practice of 30-year colorectal cancer data engineering in West China Hospital of Sichuan University: Special disease digitization and value-based healthcare

Abstract Full text Figures/Tables Video References Cited by

Format

Content