Before the big data technology matures, drug research and development and drug testing is a complex and huge project, which takes a long time, slow returns and high risks. It can be said that any pharmaceutical company has to go through thousands or even tens of thousands of experiments and a large number of candidate drugs before putting its pharmaceutical products on the market.
Because drug research and development is a comprehensive application of knowledge from more than ten disciplines such as chemistry, biology, pharmacology and clinic, there are thousands or even tens of thousands of pages of research and development data behind each drug on average. How to quickly and efficiently search and sort out massive information and find real value in the fog is the realistic demand of every innovative pharmaceutical company and related institutions.
Through big data technology, pharmaceutical companies /R&D units can improve the speed and completeness of grasping market information, assist the project establishment process, speed up the progress of drug research and development ... and develop more drugs/treatments that are more meaningful to human beings in a limited time. Big data makes the drug screening process simpler, faster and safer, and it is an efficient and economical technical means of drug analysis.
At the same time, under the general trend of normalization of centralized procurement, acceleration of new drug approval and price reduction in medical insurance negotiations, the market has made room for drugs with real clinical application value, and scientists all over the world are constantly striving to improve the success rate of new drug research and development. How to learn from each other's strengths and develop drugs that meet clinical needs, require as little investment as possible, have better market benefits and higher success rate?
Rong Yun.
At present, more professional medical big data include Yaozhi.com, Glory Cloud, Medicine Rubik's Cube and Du Yao. Provide data support from project research and development to listing, and briefly introduce the following medical databases.
Medical information medical database
The recommended index is 4.5 stars.
The online date of drug intelligence data is 2009; Based on domestic registration, global drug research and development, China clinic, global clinic, prescription of pharmaceutical preparations, new drugs, targets, enterprise reports, consistency evaluation, reference preparations, auxiliary materials data, China orange book, American orange book, Japanese orange book, drug instructions, literature retrieval at home and abroad, listed drug list, domestic and foreign standards, drug interaction, basic drug list, bid winning, sales data and information of listed drugs in various countries.
Drug information database
Function: In addition to the routine export, visualization and registration timeline, the data of Yaozhi has also explored some big data, such as the prediction of the evaluation conclusion of the registration acceptance database; Big data mining and analysis system, including synthetic atlas, classical prescriptions and local supplementary catalogues; Multi-dimensional retrieval methods, including accurate/fuzzy retrieval, hot spot retrieval, etc.
In terms of openness: semi-openness.
Generally speaking, the database of Yaozhi has done a good job, and has made some contributions to the pharmaceutical industry so far, but there is no hospital sales data.
Drug Rong Yun database
Recommended index: 5 stars
Rong Yun Medical Database will be launched in 2020, so Rong Yun is a one-stop service platform for the global biomedical industry. Rong Yun deeply integrates global biomedical data, information and resources, helping the biomedical industry to achieve a high degree of informationization and digitalization, aiming at building a digital economy for the biomedical industry.
With global drug research and development (8W+ new drug research and development projects, clinical, patent, domestic review, target, pharmacodynamics, pharmacokinetics, etc. ), global listing (documents such as approval documents, instructions and review documents from more than 40 countries or regions), national sales (three major sales databases of national hospitals, retail pharmacies and sample hospitals) and global literature as the core, forming information on drug research and development, global listing and domestic market.
Drug Rong Yun database
Functions: multidimensional intelligent retrieval, intelligent data association, registration timeline, visual data, multi-data integration, intelligent rapid screening, es search engine architecture, one-stop export, diversified browsing mode, sales data prediction for R&D data, etc. , rich and comprehensive.
Openness: The database is completely open.
Generally speaking, Rong Yun is a new medical database, but it slightly surpasses the old database in data and functions, with a novel interface, and the drug sales data can be comparable to the database in Minei, which is a comprehensive medical database.
Du Yao medical database
Recommended index: 4 stars
Du Yao Data 20 13 went online, and now it has a group of loyal customers.
Drug crossover data is centered on global drug research and development data. The database group includes 54 databases, including clinical trials, approvals from mainstream countries, domestic registration review, consistency evaluation, and essential drugs for medical insurance. The cross data of drugs is aimed at more research and development data, and the drug report database is more distinctive. At the same time, a lot of standardization work has been done on the target information.
Du Yao database
In terms of functions: registering time axis, rich retrieval functions, supporting subscription review, and developing multi-dimensional association of data.
Open: closed.
Generally speaking, the data of Du Yao Medicine is aimed at the research and development of innovative drugs, and it is a research and development database. At present, there are no bid winning data and market data.
The problem is still relatively broad, and the main solution is to understand market data, research and development data, sales data and so on.