数智融合下临床研究数字孪生能力模型构建与试用

Construction and pilot application of digital twin capability model for clinical research under data-intelligence integration

目的:建立数智融合下的临床研究数字孪生能力模型,推动临床研究全流程要素数字化、虚拟化以及可视化,深化医疗、医药领域的数字孪生服务管理能力。方法:系统梳理医疗领域数字孪生发展现状,基于临床研究实际发展需求,顶层设计临床研究数字孪生演进路径,并通过试点应用,验证所提出模型和技术路线可行性。结果:构建数智融合下的临床研究数字孪生能力模型,明确临床研究数字孪生的概念范畴、阶梯目标以及由各阶段目标串联形成的演进路径,助力打造孪生视角下临床研究新模式、新标准和新生态。结论:通过构建临床研究数字孪生能力模型,可以在一定程度上帮助处于不同发展阶段的医院明确临床研究数字孪生建设路径,避免脱离临床研究实际业务需求和应用场景,确保目标导向与需求导向统一。

Objective To establish a digital twin capability model for clinical research under data-intelligence integration,promote the digitalization,virtualization and visualization of the whole-process elements of clinical research and further strengthen the digital twin service management capability in medical and pharmaceutical fields.Methods By systematically sorting out the development status quo of digital twin in the medical field,and based on the actual development demands of clinical research,the evolutionary path of digital twin in clinical research was designed at the top level,and the feasibility of the proposed model and technical route were verified through pilot application.Results The digital twin capability model for clinical research was constructed under data-intelligence integration,and the conceptual category,stage goals and the evolutionary path formed with the goals of each stage of digital twin were clarified,which helped to create a new model,new standard and new ecology of clinical research from the perspective of twin technology.Conclusion The construction of digital twin capability model for clinical research,to some extent,can help hospitals at different stages of development to clarify the construction path of digital twin capability for clinical research,so as to avoid deviating from the actual service demands and application scenarios of clinical research,and ensure the consistence of goal-oriented and demand-orientated development.