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Construction and clinical application of a multimodal collaborative “one-stop” integrated healthcare and prevention system for cervical cancer
WU Yi-shi, CHEN Yan-dong, CUI Man-hua, TAN Wen-xi, CHENG Lin, ZHOU Xu, ZHAO Jing, ZHANG Chun-miao, ZHANG Yu-qi, WANG Hong-xin, ZHANG Chun-xue, LI Ting-ting, XU Tian-min
Chinese Journal of Practical Gynecology and Obstetrics ›› 2025, Vol. 41 ›› Issue (10) : 1034-1038.
PDF(2346 KB)
PDF(2346 KB)
Construction and clinical application of a multimodal collaborative “one-stop” integrated healthcare and prevention system for cervical cancer
Objective To establish a multimodal collaborative "one-stop" integrated healthcare and prevention system for cervical cancer in order to help accelerate the elimination of cervical cancer. Methods All clinical data from outpatients,inpatients and follow-up visits of patients, who were diagnosed with HPV infection,cervical intraepithelial neoplasia,or cervical cancer, totally 32 250 patients, were collected from the Department of Gynecology at the Second Hospital of Jilin University from June 2022 to March 2025. Utilizing Enterprise Master Patient Index (EMPI) technology,the relevant data were dynamically integrated. A structured electronic medical record system,restricted selection fields,mandatory validation,and a combined "manual+AI" follow-up mode were employed to establish an informatics-based management system for cervical cancer that covered the entire disease cycle. Results Implementation of the system significantly enhanced screening capacity for cervical cancer,with the detection rate of HSIL+ increasing from 7.2% to 12.4% (P<0.0001). Follow-up quality was improved,with 12 434 times of follow-up completed, an average return visit rate being 89.2%,and a telephone follow-up rate being 100%. The postoperative HPV positivity rate within two years of surgery increased from 27.4% to 47.1% (P<0.0001). The preoperative staging rate was improved from 83.8% to 92.3% (P<0.0001),reflecting better compliance with standardized clinical pathways. Furthermore,an AI-assisted colposcopic diagnosis model and a two-stage cervical disease risk prediction model were successfully developed(HPV infection prediction AUC=0.9266;HSIL risk prediction AUC=0.8429). Conclusion The establishment and application of the multimodal collaborative "one-stop" integrated healthcare and prevention system for cervical cancer have realized closed-loop management of the clinical pathway,facilitating clinical and scientific research innovation and promoting the provincial-level prevention and treatment collaboration,which provides a new replicable paradigm for regional prevention and treatment of cervical cancer.
cervical cancer / cancer prevention and management system / multimodal disease-specific database / artificial intelligence (AI) / health informatics management
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