ArticleComputational and structural biotechnology journal2026
From Raw Hospital Records to an AI-Ready Surveillance Dataset: A FAIR-Compliant Data Pipeline for Healthcare-Associated Infection Research in a Chinese District Hospital.
Article in Computational and structural biotechnology journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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6 authors.
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Abstract
The proliferation of hospital surveillance data in China has not been matched by publicly available, machine-readable datasets suitable for artificial intelligence (AI) research. We describe the design, implementation, and validation of a reproducible Python pipeline that transforms 39 months of raw, Chinese-language healthcare-associated infection (HAI) surveillance records from a 1,100-bed district general hospital into a de-identified, FAIR-compliant, AI-ready benchmark dataset. The pipeline addresses 5 real-world data-engineering challenges: heterogeneous Excel schemas with month-to-month format drift, mixed Chinese free-text fields requiring domain-specific bilingual translation, composite risk-factor strings requiring decomposition into 19 binary flags, incomplete temporal denominators, and privacy-preserving de-identification with
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