The consumption of medicine in mainland China is in a stage of rapid growth, population growth, aging intensification, overall economic growth, per capita consumption growth, and rural income increase, these five factors are the driving force for the vigorous development of the pharmaceutical market. Driven by these five factors, the demand for pharmaceutical products in mainland China will maintain rapid growth for a long time to come. From the perspective of multiple environments and dimensions, the current external environment in which pharmaceutical companies are located, whether it is the industry situation, the policies issued by the government, or the higher requirements of the public for pharmaceutical companies. The rapid growth of pharmaceutical market demand is not only an opportunity for development for pharmaceutical companies, but also faces risks and challenges.
In this new era, the era of "cloud and things moving intelligence" is the era of subverting everything, and "subverting everything" has become the main theme of this era. This is not only a problem of industrial transformation, but also a major transformation and upgrading of the entire human society. After the reconstruction of the Internet, we will usher in the next dividend after the demographic dividend - the big data dividend, leading the trend of Internet upgrading in the world. The new "big data + pharmaceutical" has also come hand in hand, and the subversion and reconstruction of the whole industrial chain have opened the curtain of the times.
How the pharmaceutical industry responds to the challenges of the current era of big data, and how to face and solve these problems, digitalization is the key!
Turning big data into small data is the key to addressing the challenges of big data, breaking down the barriers between internal, external, public and commercial content, bringing together information content from multiple sources, establishing the flow and relevance of data information, and ultimately turning content into insights that support the development of better new medicines.
How to grasp the key in a series of development issues, such as:
- What does the competitor's drug development pipeline look like?
- How does the safety profile of the drug compare in the various clinical trials in which the drug is tested?
- Is it possible for a competitor's trial to be completed before we do, and how is the drug progressing in clinical trials?
- Which indications are prioritized by drug owners?
The solution of many core problems requires the construction of comprehensive digital application capabilities.
Based on business and management, Paco Data one-stop enterprise-level data visualization platform can build a complete set of data indicators from strategic planning to business operation of pharmaceutical enterprises.
1. Digitization of the whole life cycle of drugs
From the perspective of the whole life cycle of drugs, the digitalization of pharmaceutical enterprises covers R&D, production, distribution and use. If the R&D cycle of pharmaceutical companies can be shortened, drugs can be marketed one or two months earlier, and the value brought to pharmaceutical companies will be huge. What can digital companies do in R&D?
The application of big data analysis in many scenarios, such as the exploration of lead compounds, can reduce the time of molecular compound experiments with a large number of samples according to the characteristics of molecules according to the public database, shorten the experimental cycle and improve the efficiency significantly, and the efficiency can be increased by up to 30%. In the field of clinical development, it is necessary to collect a large number of literature or some specialized databases, and if these unstructured data are to be used as valuable or usable data by R&D personnel, a large number of collection, analysis and processing processes are required.
It can also be shortened by big data processing techniques, such as the formation of semi-structured databases, which can also be shortened for a long time. There are many things that can be done through big data or artificial intelligence technology. Even after the market, the monitoring data of some safety adverse reactions can be analyzed, which can provide a good reference value for personalized treatment and research and development of new drugs in the future.
2. PDCA and SDCA cycles in drug manufacturing
In the field of manufacturing, for pharmaceutical companies, there are two important cycles, PDCA and SDCA production, as well as operations and equipment, which are divided into two parts: enterprise operation and production operation.
PDCA: It is mainly to consider the operational level of the enterprise, whether the business is developed according to the plan of the enterprise management level.
P: Refers to budget, operation plan, sales plan, supply plan (procurement plan, production plan) production and sales balance;
D: Enterprise execution, including production execution, procurement execution, sales execution, etc.;
C: Check the deviation between the implementation results and the plan and budget, and grasp the gaps;
A: After identifying problems and gaps, how to close the gap between budget and reality.
Enterprises make operational adjustments according to the actual operating conditions to ensure that they move forward according to the preset goals, and correct problems in a timely manner when they are found. In the PDCA cycle of enterprise operation, informatization focuses on business operations such as budget management and enterprise resource planning (ERP), while data visualization analysis focuses on the achievement of business operations on enterprise strategy, and optimizes enterprise operation and management with result orientation.
SDCA: In the factory of pharmaceutical companies, the focus is on D (production execution) in PDCA, which is commonly called SDCA in production execution, which is a whole set of management thinking
S: It can be said that it is a standard, it is the business standard of the enterprise, it is the standard of the regulations, etc., and it is necessary to have the framework of laws and regulations, and carry out business under the quality system and standards of the enterprise;
D: Products produced in the workshop;
C: Check whether the product is qualified in the laboratory;
A: In production and inspection, we should find deviations and problems, analyze and improve, find the reasons for them, and take corresponding measures to avoid the recurrence of problems.
3. Think digitally about SDCA:
S: It can be the company's compliance system, file system
D: Generally refers to MES (Manufacturing Execution System), which ensures that production operations are carried out in compliance on site. In order to optimize the production execution plan, MES will sometimes involve the concept of APS (Advanced Planning and Scheduling), and downward, it will involve SCADA (Data Acquisition and Supervisory Control System) to automatically collect the parameter data of the equipment
C: Generally, you can use the LIMS system to manage the inspection and laboratory process and test data to make a qualified judgment
A: In pharmaceutical companies, the CAPA process can usually be managed through the QMS system to ensure the quality of the product and continuously improve the level of quality management
The organic integration of PDCA, SDCA management thinking and business system is the key to the operation and production execution of pharmaceutical enterprises, and digitalization is an effective guarantee for this process.
The development and application of digitalization in the pharmaceutical industry The development and application of digitalization in the pharmaceutical industry has become an important trend, which is changing all aspects of the pharmaceutical industry, including R&D, production, quality control and marketing, operation management and other aspects.
Here are some of the key digital application scenarios of Paco Data in the pharmaceutical industry:
1. Drug R&D: The application of data analysis, data mining and machine learning technologies in the drug R&D process can accelerate the discovery and development process of new drugs and improve the efficiency and success rate of R&D.
2. Production optimization: Through real-time data collection and analysis, it helps pharmaceutical companies optimize the production process and improve production efficiency and quality control. For example, AIOT technology is used to build the Internet of Things, connect devices and sensors to monitor the status and parameters of production equipment, and realize intelligent production management and real-time monitoring.
3. Quality control: In the field of quality control in the pharmaceutical industry, the stability and consistency of product quality are improved through real-time data collection and analysis. For example, using big data analysis and statistical methods, the production process and quality data are monitored and analyzed to find and correct potential problems.
4. Supply chain management: In the process of enterprise operation and management, improve the supply chain management of the pharmaceutical industry, reduce inventory and logistics costs, and improve the traceability and transparency of the supply chain. Through comprehensive data visualization, the digital and automated management of the supply chain is realized, and the response speed and flexibility of the supply chain are improved.
5. Customer interaction and marketing: In the process of product marketing and customer relationship management on social media, apps and online platforms, a large amount of data has been accumulated, and through the analysis of these data, the interaction between pharmaceutical companies and customers can be further improved, so that pharmaceutical companies can better understand customer needs, provide accurate personalized products and services, and improve user experience.
Overall, the development and application of digitalization in the pharmaceutical industry offers new opportunities and challenges for increasing efficiency, reducing costs, enhancing quality, and improving customer experience. As digital technology advances and innovations continue to emerge, digitalization will continue to play an important role in the pharmaceutical industry and drive the industry's continued development and transformation.
(End of full text)
Paike Data one-stop enterprise-level BI visual analysis platform, "zero-code data warehouse" + "visual self-service analysis", provides enterprises with a one-stop data integration platform, data filling platform and data visualization analysis and display platform, a large number of industries and financial supply chain and other general index system precipitation, welcome to consult and exchange, operation inquiry phone 17853181o52 (WeChat with the same number)!