ABSTRACT
As a kind of intervention measures of traditional Chinese medicine, acupuncture-moxibustion is highly adopted on global clinical practice. Even though the global clinical trial registration system was established more than 10 years ago, the proportion of acupuncture-moxibustion clinical trial registration is still very low; and it is very problematic on the methodological quality and report quality in the published acupuncture-moxibustion clinical trials. In order to manage particularly the acupuncture-moxibustion clinical trials, China Academy of Chinese Medical Sciences, collaborated with China Association of Acupuncture and Moxibustion and World Federation of Acupuncture Societies, established the Acupuncture-Moxibustion Clinical Trail Registry (AMCTR). AMCTR is a secondary registry platform affiliated to the Chinese Clinical Trial Registry (ChiCTR) and WHO International Clinical Trials Registry Platform (ICTRP), specifically for the acceptance and management of clinical trials in the field of acupuncture and moxibustion. It is a nonprofit academic organization, located in China Academy of Chinese Medical Sciences.
ABSTRACT
Based on a retrospective study design, this article was aimed to discuss the transformation path and method of hospital medical records information into analyzable data, in order to solve the problem of text-based information digitalization, and improve the credibility of statistical results. The hospital medical records information of traditional Chinese medicine (TCM) treatment for infantile cerebral palsy was taken as example. After the identification of research purpose, the study contained 8 steps, which were index identification, index definition, coding and assignment, database design, data entry, quality control, and database locking. The database contained research-related indicators was received. The results showed that a set of path and method based on indicator extraction and conversion of hospital medical records information into data. It was concluded that in the retrospective study design, the conversion of text information into analyzable data was the key step. Extraction and digitalization of indicators should be based on the research plan. Key elements such as the crowd, treatment plan, evaluation indicator, should be paid attention to for the systematic analysis, in order to ensure the system integrity of research indicators.