Artificial intelligence type clinical scientific research service system

Abstract

The invention discloses an artificial intelligence type clinical scientific research service system. The system comprises a doctor circle, a patient circle and a data processing analysis circle; the data processing analysis circle comprises a data storage group, data comprehensive analysis software and an artificial intelligence deep learning engine; the doctor circle and the patient circle uploadrelated information to the data processing analysis circle through APPs, WeChat official accounts, WeChat applets, etc., and the information is stored according to categories; and the data comprehensive analysis software is used for performing analysis, comparison and judgment on information provided by the doctor circle and the patient circle so as to obtain the objects of clinical scientific research recruitment, and rescue service information featuring high matching between doctors and patients. Online and offline contract signing, visits and other recruitment methods are adopted, and therefore, recruitment is high in efficiency and low in cost; the professional software is adopted to perform analyze and process data so as to obtain accurate recruitment objects, and therefore, a recruitment effect is good, a recruitment cycle is short, clinical scientific research and the marketing of new medicines of medicine companies can be benefitted; and doctor resources are rationally used, and therefore, the imbalance between the supply of doctors and the demand of patients can be avoided, and the social problem that people have little access to medical advice consultation and treatmentcan be solved.

Description

technical field [0001] The invention belongs to the field of Internet and artificial intelligence, and in particular relates to an artificial intelligence type clinical scientific research service system for quickly recruiting doctors and patients, effectively solving the imbalance between doctors and patients, and serving clinical scientific research. Background technique [0002] In the process of clinical research and new drug development of pharmaceutical companies, it is necessary to recruit highly matched professional doctors and specific patients. In order to recruit doctors and patients, the existing method is mainly to recruit specialists for one-on-one visits, supplemented by media promotion , this method can achieve a certain recruitment effect, but there are also major defects. The recruiter visits the doctor, and the transparency is low; the patient is unfamiliar with the doctor in the research center, the trust is low, the compliance may be poor, the recruitment...

AI Technical Summary

Problems solved by technology

[0003] In order to solve the above-mentioned existing problems such as difficult recruitment, low efficiency, long cycle, high recruitment cost, unfavorable clinical research and new drug listing by pharmaceutical companies, and inability to solve the contradiction between supply and demand between doctors and patients, the present invention adopts the following technical solutions: