@article{Jia2025, 
author = {Xinhua Jia and Chen Gao and Xi’ao Da and Jingyi Shi and Mingyang Chen and Rufei Duan and Zhifang Li and Ruimei Feng and Yao Yang and Jiahuan Zhai and Hanyue Ding and Alex Ng and Youlin Qiao},
title = {Evaluation of an intelligent digital platform for population management in cervical cancer screening},
year = {2025},
journal = {Cancer Biology & Medicine},
volume = {22},
number = {9},
pages = {1068-1082},
keywords = {Cervical cancer screening, digital health, population management, over-screening, rural China},
url = {https://www.sciopen.com/article/10.20892/j.issn.2095-3941.2025.0419},
doi = {10.20892/j.issn.2095-3941.2025.0419},
abstract = {ObjectiveTo describe temporal changes associated with deployment of an optical character recognition (OCR)-enabled One-Identity (One-ID) digital platform for rural cervical cancer screening, focusing on over-screening rates, CIN2+ detection, colposcopy follow-up, and CIN2+ management.MethodsA multi-county pre-post observational study was conducted in six rural counties in Shanxi, Yunnan, and Sichuan Provinces (2021–2024), encompassing 153,978 encounters. The digital platform integrates OCR identity capture, deterministic One-ID linkage, and real-time duplicate alerts. Over-screening proportions before and after digital deployment were compared, changes in CIN2+ detection rate were evaluated, and colposcopy follow-up and CIN2+ management were assessed. Differences were tested with χ2 or Fisher’s exact tests.ResultsAmong 153,978 encounters, the proportion of over-screening decreased from 12.64% in 2023 to 0.17% in 2024 with an absolute reduction of 12.17% (95% CI: 11.94–12.40; P < 0.001). The share of women receiving a first screening within the preceding 3 y increased from 78.3% to 88.2% (P < 0.001). Colposcopy completion improved from 64.1% to 84.9%. The CIN2+ detection rate rose from 0.35% (2021–2023 pooled) to 0.67% in 2024 (P < 0.001) and CIN2+ management completion increased from 56.0% to 76.2% (95% CI: 13.3–27.2; P < 0.001). These improvements were consistent across age groups, counties, and screening strategies.ConclusionsThe OCR-enabled One-ID platform substantially reduced over-screening, increased CIN2+ detection rate, and strengthened case follow-up/management, particularly where baseline tracking was weak, supporting scalable digital reinforcement of rural screening programmes.}
}