我国医院信息化智能化发展战略在预防患者安全差错方面发挥了重要作用，但不可避免地引起医务人员既有工作模式及医患交互环境的改变，进而引发与健康IT相关的患者安全事件。与其他患者安全事件不同，健康IT相关的患者安全事件常发生在医疗体系的“钝端”，存在不直接触及患者、伤害不易即时发现、危害面积大等特点。患者安全文化和新近提出的患者参与患者安全被认为是影响患者安全的潜在决定因素，但缺乏两者同时影响患者安全的实证研究。为此，本项目拟采用纵向研究设计，综合质性和量性方法，应用自然语言处理技术识别健康IT相关的患者安全事件，基于机组资源管理理论构建患者参与安全文化对健康IT相关的患者安全影响的预测模型，并通过改变关键变量的强度，进一步修正模型，在此基础上提出健康IT相关患者安全的管理建议。本项目的实施为今后从医院安全文化切入，发挥医患双方的合力，进而提高医院患者安全和医疗服务质量，将有着积极的推动作用。

The application of health information technology (HIT) has become the trend of hospital development in China. HIT inevitably causes changes in the existing working mode and doctor-patient interaction environment which resulted in medical risks, disputes and patient safety problems. Health information technology errors almost always jeopardize patient outcomes and have high potential for harm because they are often latent errors that occur at the “blunt end” of the health care system, potentially affecting large numbers of patients if not corrected. Patient safety culture (PSC) and more recently patient engagement (PE) have been identified as potential determinants of patient safety. Under a longitudinal design and comprehensively use qualitative and quantitative methods, the purposes of this study are to explore the impact of PSC and PE on HIT related errors using a structural equation modeling. In addition, by controlling key variables related to PSC, we will further test these key variables correlated to HIT related errors and clarify the mechanism about PSC, PE and HIT related errors. The results of this study will generate new ideas and theories about how to promote the construction of PSC and application of HIT.