基于移动医疗技术的中医药临床研究者依从性多维度测控与评价方法的建立

在中医临床研究中，研究者依从性问题贯穿于临床研究过程的始终。本课题在不干预研究者工作的前提下，建立研究者依从性的评价方法,以提高中医临床研究的质量。在中医理论指导下，通过嫁接先进移动医疗技术理念，建立基于Android移动技术的多维度数据采集平台（人脸识别、舌诊识别、音频识别、指纹识别），集成多种方法和技术，将不同模式的计算识别方法嵌入移动设备，用于临床研究过程测控，在不降低测试精度前提下，提高研究者的依从性。同时借鉴量表学的原理与技术，研制包含有中医四诊信息诊疗特色的研究者依从性量表测量工具，通过德尔菲法建立不同条目的权重系数，并进行指标计分与相似度比较。两种技术有机结合应用于一项前瞻性临床试验并在研究过程中建立一种新的研究者随机与反馈测控技术，用于构建基于移动技术的研究者依从性测控评价方法，此方法可有效的彰显中医药诊疗的特点与优势，是临床评价理念、方法与工具的创新。

In clinical research of traditional Chinese medicine, always question researchers compliance throughout the clinical research process. This topic without intervention researchers work, to establish a method for evaluation of compliance with researchers,To improve the quality of clinical research of traditional Chinese medicine. Under the guidance of Chinese medicine theory, through grafting advanced mobile medical technology concept, the establishment of multi dimension data acquisition platform of Android based on mobile technology (face recognition, recognition of tongue diagnosis, audio recognition, fingerprint recognition), the integration of multiple methods and techniques, the calculation method for identifying different patterns of the embedded mobile device, used for clinical study of process control, in the reduce the testing accuracy, improve the compliance of researchers. At the same time reference scale principle and technology, researchers developed contains four diagnostic information of TCM diagnosis and treatment characteristics of the compliance scale measurement tools, the establishment of different entry weight coefficient by Delphi method, and compared the index score and similarity. Two kinds of organic combination of technology used in a prospective clinical trials and in the course of the study to establish a new researchers randomly and feedback control technology, for the construction of mobile technology research compliance control evaluation method based on the characteristics and advantages, this method can effectively reveal the Chinese medicine diagnosis and treatment, clinical evaluation of the concept innovation, methods and tools.