从数据治理到智能应用：医学 “干实验室” 建设的实践与思考

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【 Abstract】This study aims to develop a medical “dry laboratory”model that treats healthcare data as the primary research subject and employs computational science andAIascore methodologies.Based onthe practiceof alarge tertiary hospitalwe presentaconstructionframework featuringafullycle modelspaningdatacultivationgoverance，value eraction， andecologicalfedback—transformingmedicaldatafromastaticresourceintoalivingasset.Innovatively，the“drylaboratory” was ntegrated intotheresidencytrainingrotation tosystematicallcultivatedata literacy.Practice hasshownthattheframework establishs te“drylaboratory”asadigitalresearchentityreatingaclosed-loopsystemthat integratescliicalpracticewithdata analytics，significantlyenhancing theusabilityofmultimodal dataandenablingscalabletrainingindatacompetence.In conclusion，the medical“drylaboratory”representsanewdigitalresearch paradigm distinctfrom traditional wetlaboratories.Its implementation provides a reference framework and introduces an integrated“dry-wet’research model combining wet-lab experiments withdata cultivation，demonstrating significant valuefor enhancing medical inovation，cultivating interdisciplinary talent， and advancing smart healthcare.

【 Key words】 Dry laboratory; Medical big data; Artificial intelligence; Data governance; Hospital management

当前，医学研究正经历从经验驱动向数据驱动的深刻变革［1］。（剩余13451字）