Objective To investigate evidence retrieval, appraisal, and reevaluation during evidence-based clinical decision making in China. Also, to analyze the related factors, so as to find the problems in the course of evidence-based clinical decision making and put forward corresponding solutions. Methods We searched Chinese Biomedical Literature Disc (CBM) and China Journal Full-text Database (Medical sciences) of the China National Knowledge Infrastructure (CNKI) to collect clinical evidence-based case reports. Relevant information was extracted from these reports by a selfdesigned investigation form.Then statistical analyses were performed. Results The search tools used in the course of evidence-based clinical decision making varied. The most frequently used were MEDLINE/PubMed (82.08%) and The Cochrane Library (60.38%). 30.63% of evidence-based case reports described the search strategy in detail, and 9.01% described how they modified their search strategy. All doctors evaluated the association between evidence and disease, but few of them integrated patient factors and relevant external factors when evaluating evidence. The scientific nature and validity of the evidence was evaluated in 74 evidence-based case reports (66.67%), and such evaluation was mainly based on the criteria of evidence grading (50.00%). Reevaluation was mentioned in 85.59% of evidence-based case reports. Conclusion In China, the application of evidence-based decision making varied in different clinical departments. Problems existed in the course of evidence retrieval, appraisal, and reevaluation. This revealed the low information diathesis level of doctors and their lack of evidence-based medicine knowledge. It is suggested that information education and evidence-based medicine education should be strengthened to improve doctors’ ability to use evidence-based clinical decision making. It is also recommended that the search tools, relevant search strategy, the modification of search strategy, and reevaluation on practice results of each case should be mentioned in evidence-based case reports.
The analysis of big data in medical field cannot be isolated from the high quality clinical database, and the construction of first aid database in our country is still in the early stage of exploration. This paper introduces the idea and key technology of the construction of multi-parameter first aid database. By combining emergency business flow with information flow, an emergency data integration model was designed with reference to the architecture of the Medical Information Mart for Intensive Care III (MIMIC-III), created by Computational Physiology Laboratory of Massachusetts Institute of Technology (MIT), and a high-quality first-aid database was built. The database currently covers 22 941 medical records for 19 814 different patients from May 2015 to October 2017, including relatively complete information on physiology, biochemistry, treatment, examination, nursing, etc. And based on the database, the first First-Aid Big Data Datathon event, which 13 teams from all over the country participated in, was launched. The First-Aid database provides a reference for the construction and application of clinical database in China. And it could provide powerful data support for scientific research, clinical decision making and the improvement of medical quality, which will further promote secondary analysis of clinical data in our country.