Development and real-world deployment of an optical character recognition (OCR)-enabled One-ID digital cervical cancer screening platform (web console + WeChat Mini Program). (IMAGE)
Caption
Development and real-world deployment of an optical character recognition (OCR)-enabled One-ID digital cervical cancer screening platform (web console + WeChat Mini Program). Phase I comprised system architecture design and integration of OCR to capture and standardize identity information via a unified national identification number (One-ID). Phase II involved implementation across six counties with a descriptive pre-post evaluation. The end-to-end digital workflow included community outreach and appointment booking, on-site registration with eligibility verification, specimen collection, laboratory processing and result release, automated recall, colposcopy attendance, biopsy and histopathology, treatment, digital follow-up, and management completion. Over-screening (screening at intervals shorter than guideline recommendations) decreased from 12.64% to 0.17% (-12.47 percentage points; -98.7%), follow-up adherence and completion of CIN2+ management improved, and CIN2+ detection rate increased in parallel with broader adoption of HPV testing. These patterns were consistent across age groups, counties, and service delivery strategies. (This pre-post assessment was descriptive and not designed to infer causal effects). CIN2+, cervical intraepithelial neoplasia grade 2 or worse; HPV, human papillomavirus; OCR, optical character recognition; One-ID, unified national identity number; pp, percentage points; QC, quality control.
Credit
Cancer Biology & Medicine
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