新医学2026，Vol.57Issue(4)：321-328,8.DOI:10.12464/j.issn.0253-9802.2026-0165
从数据治理到智能应用:医学"干实验室"建设的实践与思考
From data governance to intelligent applications:practice and reflection on building the medical"dry laboratory"
摘要
Abstract
This study aims to develop a medical"dry laboratory"model that treats healthcare data as the primary research subject and employs computational science and AI as core methodologies.Based on the practice of a large tertiary hospital,we present a construction framework featuring a full-cycle model spanning data cultivation,governance,value extraction,and ecological feedback—transforming medical data from a static resource into a living asset.Innovatively,the"dry laboratory"was integrated into the residency training rotation to systematically cultivate data literacy.Practice has shown that the framework establishes the"dry laboratory"as a digital research entity,creating a closed-loop system that integrates clinical practice with data analytics,significantly enhancing the usability of multimodal data and enabling scalable training in data competence.In conclusion,the medical"dry laboratory"represents a new digital research paradigm distinct from traditional wet laboratories.Its implementation provides a reference framework and introduces an integrated"dry-wet"research model combining wet-lab experiments with data cultivation,demonstrating significant value for enhancing medical innovation,cultivating interdisciplinary talent,and advancing smart healthcare.关键词
干实验室/医疗大数据/人工智能/数据治理/医院管理Key words
Dry laboratory/Medical big data/Artificial intelligence/Data governance/Hospital management引用本文复制引用
刘子锋,杨钦泰,卢娅欣,孙杰,王珍荷,戎利民..从数据治理到智能应用:医学"干实验室"建设的实践与思考[J].新医学,2026,57(4):321-328,8.基金项目
国家科技重大专项(科技创新2030重大项目)(2024ZD0527201) （科技创新2030重大项目）
中山大学人工智能研究院重点发展项目(2025RGZN006) （2025RGZN006）
