医源性感染（HCAI）防控领域亟待解决的关键技术问题中，用于公开的HCAI指标及其风险调整模型等基准问题备受政治与技术领域关注。 本理论研究拟从透明角度，基于HCAI指标分布特征，在生态学模型和Donabedian质量管理模式基础上分别建立的风险因素范式及HCAI指标体系范式指导下，使用扎根理论尤其是其开放编码技术、专题小组讨论等，形成HCAI指标选择的理论标准、概念模型等。 采用现况调查资料验证理论研究成果，确定指标选择标准、最优指标及关键风险因素，建立风险因素路径模型；采取回顾性调查资料验证及再评价风险因素及概念模型，建立基于透明的HCAI指标最优风险调整模型；分析方法包括因子分析、负二项回归、逐步回归等；模型评价指标拟使用信度、效度、C指数等。 研究成果力求促进透明理论运用及创新、强化HCAI防控的方法基础，实现HACI监测与公开的科学化、现代化，提升监管能力，降低HCAI

HCAI indicators' measurement benchmark including the selection criterion of indicators, best indicators, risk adjusted factors and risk models will be studied according to the key technical problems from the disclosure of HCAI. The framework study will be done to develop the framing theory of measurement benchmarks based on transparency theory, risk factors framework based on Ecology model, HCAI indicators framework based Donabedian quality management model, the grounded theory including open coding, axial coding, and etc. The outputs include the framing theory of the selection criterion of indicators, best indicators, risk adjusted factors and skeletal risk models. The empirical study will be done to test the framing theory of measurement benchmarks including development and evaluation of adjusted mathematical risk models , evaluation of risk adjusted factors, evaluation of selection criterion of indicators and best indicators by use of factor analysis ，stepwise regression, negative binomial regression and etc based on cross-sectional survey and retrospective study. Indicators used to evaluate model include reliability, validity, C index and etc. The research achievements are aimed at extending the transparency theory of medicine use and innovation，enhancing method bases of HCAI prevention and control. Further direction for HCAI disclosure, control and surveillance are also expected to promote scientific supervision, regulatory modernization，improving the public management ability and efficiency，reducing incidence of HCAI .